Filtered Product Data Report

Dataset statistics

Number of variables	38
Number of observations	8349
Missing cells	10808
Missing cells (%)	3.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	17.9 MiB
Average record size in memory	2.2 KiB

Variable types

DateTime	1
Numeric	4
Text	22
Categorical	11

Alerts

`Country of Origin` is highly overall correlated with `Standard Unit` and 2 other fields	High correlation
`HS Code` is highly overall correlated with `Importer City` and 1 other fields	High correlation
`Importer City` is highly overall correlated with `HS Code` and 6 other fields	High correlation
`Importer City- Unified` is highly overall correlated with `HS Code` and 6 other fields	High correlation
`Importer Pincode` is highly overall correlated with `Importer City` and 4 other fields	High correlation
`Importer Pincode- Unified` is highly overall correlated with `Importer City` and 4 other fields	High correlation
`Importer State` is highly overall correlated with `Importer City` and 5 other fields	High correlation
`Importer State- Unified` is highly overall correlated with `Importer City` and 5 other fields	High correlation
`Month` is highly overall correlated with `Record Id`	High correlation
`Port of Destination` is highly overall correlated with `Shipment Mode` and 2 other fields	High correlation
`Record Id` is highly overall correlated with `Month`	High correlation
`Shipment Mode` is highly overall correlated with `Port of Destination`	High correlation
`Standard Unit` is highly overall correlated with `Country of Origin` and 7 other fields	High correlation
`Unit` is highly overall correlated with `Country of Origin` and 3 other fields	High correlation
`Unit Rate Currency` is highly overall correlated with `Country of Origin` and 2 other fields	High correlation
`Importer City` is highly imbalanced (56.3%)	Imbalance
`Importer State` is highly imbalanced (65.4%)	Imbalance
`Unit` is highly imbalanced (87.8%)	Imbalance
`Standard Unit` is highly imbalanced (95.6%)	Imbalance
`Unit Rate Currency` is highly imbalanced (88.7%)	Imbalance
`Port of Destination` is highly imbalanced (54.5%)	Imbalance
`Shipment Mode` is highly imbalanced (88.8%)	Imbalance
`Importer City- Unified` is highly imbalanced (56.2%)	Imbalance
`Importer State- Unified` is highly imbalanced (65.2%)	Imbalance
`Importer Add1` has 574 (6.9%) missing values	Missing
`Importer City` has 651 (7.8%) missing values	Missing
`Importer State` has 594 (7.1%) missing values	Missing
`Importer Phone` has 313 (3.7%) missing values	Missing
`Importer E-mail` has 1235 (14.8%) missing values	Missing
`Contact Person` has 594 (7.1%) missing values	Missing
`Port Of Origin` has 2222 (26.6%) missing values	Missing
`Importer Add1- Unified` has 575 (6.9%) missing values	Missing
`Importer City- Unified` has 742 (8.9%) missing values	Missing
`Importer Pincode- Unified` has 137 (1.6%) missing values	Missing
`Importer State- Unified` has 692 (8.3%) missing values	Missing
`Importer Phone- Unified` has 411 (4.9%) missing values	Missing
`Importer E-Mail- Unified` has 1333 (16.0%) missing values	Missing
`Contact Person-Unified` has 692 (8.3%) missing values	Missing
`Record Id` has unique values	Unique
`Importer Pincode` has 557 (6.7%) zeros	Zeros
`Importer Pincode- Unified` has 557 (6.7%) zeros	Zeros

Reproduction

Analysis started	2024-10-13 13:56:27.141529
Analysis finished	2024-10-13 13:56:32.425088
Duration	5.28 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

ï»¿BE Date
Date

Distinct	351
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	388.5 KiB

Minimum	2022-01-05 00:00:00
Maximum	2023-12-03 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

HS Code
Real number (ℝ)

HIGH CORRELATION

Distinct	37
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29078808

Minimum	29024100
Maximum	29420090
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	388.5 KiB

Quantile statistics

Minimum	29024100
5-th percentile	29025000
Q1	29025000
median	29025000
Q3	29153200
95-th percentile	29153300
Maximum	29420090
Range	395990
Interquartile range (IQR)	128200

Descriptive statistics

Standard deviation	63968.541
Coefficient of variation (CV)	0.0021998337
Kurtosis	-1.5348225
Mean	29078808
Median Absolute Deviation (MAD)	0
Skewness	0.40594338
Sum	2.4277897 × 10¹¹
Variance	4.0919742 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
29025000	4520	54.1%
29153200	2778	33.3%
29153300	500	6.0%
29024100	250	3.0%
29153999	114	1.4%
29024300	73	0.9%
29159099	55	0.7%
29024400	10	0.1%
29094990	5	0.1%
29141300	5	0.1%
Other values (27)	39	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
29024100	250	3.0%
29024300	73	0.9%
29024400	10	0.1%
29025000	4520	54.1%
29029090	3	< 0.1%
29051490	3	< 0.1%
29052210	1	< 0.1%
29054290	1	< 0.1%
29061990	1	< 0.1%
29072990	1	< 0.1%

Value	Count	Frequency (%)
29420090	1	< 0.1%
29389090	1	< 0.1%
29339990	4	< 0.1%
29332920	1	< 0.1%
29319090	1	< 0.1%
29309099	2	< 0.1%
29261000	1	< 0.1%
29232090	1	< 0.1%
29222913	1	< 0.1%
29182190	1	< 0.1%

Product Description
Text

Distinct	662
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Memory size	992.1 KiB

Length

Max length	148
Median length	136
Mean length	33.029824
Min length	11

Characters and Unicode

Total characters	275766
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	223 ?
Unique (%)	2.7%

Sample

1st row	STYRENE MONOMER IN BULK
2nd row	STYRENE MONOMER SM
3rd row	VINYL ACETATE MONOMER
4th row	STYRENE MONOMERSM
5th row	STYRENE MONOMER

Value	Count	Frequency (%)
monomer	6615	16.9%
styrene	4520	11.5%
bulk	3825	9.8%
acetate	3468	8.9%
in	3372	8.6%
vinyl	2785	7.1%
ref	1414	3.6%
no	1081	2.8%
aifta	824	2.1%
liquid	509	1.3%
Other values (943)	10748	27.4%

Most occurring characters

Value	Count	Frequency (%)
	32489	11.8%
E	26972	9.8%
N	20889	7.6%
O	17986	6.5%
M	16272	5.9%
T	16136	5.9%
R	14289	5.2%
2	12897	4.7%
A	11157	4.0%
0	10300	3.7%
Other values (59)	96379	34.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	190125	68.9%
Decimal Number	41388	15.0%
Space Separator	32489	11.8%
Other Punctuation	7616	2.8%
Dash Punctuation	3275	1.2%
Lowercase Letter	816	0.3%
Math Symbol	37	< 0.1%
Open Punctuation	10	< 0.1%
Close Punctuation	10	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	26972	14.2%
N	20889	11.0%
O	17986	9.5%
M	16272	8.6%
T	16136	8.5%
R	14289	7.5%
A	11157	5.9%
I	9748	5.1%
L	8719	4.6%
Y	8543	4.5%
Other values (15)	39414	20.7%

Lowercase Letter

Value	Count	Frequency (%)
a	137	16.8%
t	128	15.7%
e	87	10.7%
l	71	8.7%
y	68	8.3%
n	66	8.1%
s	54	6.6%
u	42	5.1%
c	42	5.1%
r	31	3.8%
Other values (8)	90	11.0%

Decimal Number

Value	Count	Frequency (%)
2	12897	31.2%
0	10300	24.9%
1	5346	12.9%
5	2393	5.8%
3	2134	5.2%
4	2079	5.0%
6	1680	4.1%
7	1674	4.0%
9	1505	3.6%
8	1380	3.3%

Other Punctuation

Value	Count	Frequency (%)
.	6883	90.4%
/	417	5.5%
:	146	1.9%
%	74	1.0%
,	48	0.6%
&	40	0.5%
'	6	0.1%
?	1	< 0.1%
*	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	20	54.1%
\|	15	40.5%
=	2	5.4%

Space Separator

Value	Count	Frequency (%)
	32489	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3275	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	10	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	190941	69.2%
Common	84825	30.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	26972	14.1%
N	20889	10.9%
O	17986	9.4%
M	16272	8.5%
T	16136	8.5%
R	14289	7.5%
A	11157	5.8%
I	9748	5.1%
L	8719	4.6%
Y	8543	4.5%
Other values (33)	40230	21.1%

Common

Value	Count	Frequency (%)
	32489	38.3%
2	12897	15.2%
0	10300	12.1%
.	6883	8.1%
1	5346	6.3%
-	3275	3.9%
5	2393	2.8%
3	2134	2.5%
4	2079	2.5%
6	1680	2.0%
Other values (16)	5349	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	275766	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32489	11.8%
E	26972	9.8%
N	20889	7.6%
O	17986	6.5%
M	16272	5.9%
T	16136	5.9%
R	14289	5.2%
2	12897	4.7%
A	11157	4.0%
0	10300	3.7%
Other values (59)	96379	34.9%

Importer Name
Text

Distinct	186
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	924.1 KiB

Length

Max length	48
Median length	43
Mean length	24.695413
Min length	8

Characters and Unicode

Total characters	206182
Distinct characters	42
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	0.6%

Sample

1st row	SUPREME PETROCHEM LTD
2nd row	SHIVA PERFORMANCE MATERIALS PRIVATE LIMITED
3rd row	JESONS INDUSTRIES LIMITED
4th row	INEOS STYROLUTION INDIA LIMITED
5th row	JESONS INDUSTRIES LIMITED

Value	Count	Frequency (%)
ltd	3752	12.2%
limited	3062	10.0%
pvt	1804	5.9%
industries	1286	4.2%
chemicals	1157	3.8%
india	998	3.2%
visen	976	3.2%
private	886	2.9%
polymers	674	2.2%
petrochem	590	1.9%
Other values (295)	15586	50.7%

Most occurring characters

Value	Count	Frequency (%)
	22422	10.9%
I	22393	10.9%
E	19096	9.3%
T	14794	7.2%
L	13549	6.6%
S	12853	6.2%
A	11989	5.8%
D	11411	5.5%
R	10727	5.2%
N	10183	4.9%
Other values (32)	56765	27.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	183696	89.1%
Space Separator	22422	10.9%
Lowercase Letter	54	< 0.1%
Dash Punctuation	6	< 0.1%
Decimal Number	4	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	22393	12.2%
E	19096	10.4%
T	14794	8.1%
L	13549	7.4%
S	12853	7.0%
A	11989	6.5%
D	11411	6.2%
R	10727	5.8%
N	10183	5.5%
C	9734	5.3%
Other values (16)	46967	25.6%

Lowercase Letter

Value	Count	Frequency (%)
n	12	22.2%
i	8	14.8%
t	8	14.8%
e	8	14.8%
a	4	7.4%
g	2	3.7%
y	2	3.7%
r	2	3.7%
o	2	3.7%
l	2	3.7%
Other values (2)	4	7.4%

Decimal Number

Value	Count	Frequency (%)
1	2	50.0%
2	2	50.0%

Space Separator

Value	Count	Frequency (%)
	22422	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	183750	89.1%
Common	22432	10.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	22393	12.2%
E	19096	10.4%
T	14794	8.1%
L	13549	7.4%
S	12853	7.0%
A	11989	6.5%
D	11411	6.2%
R	10727	5.8%
N	10183	5.5%
C	9734	5.3%
Other values (28)	47021	25.6%

Common

Value	Count	Frequency (%)
	22422	> 99.9%
-	6	< 0.1%
1	2	< 0.1%
2	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	206182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22422	10.9%
I	22393	10.9%
E	19096	9.3%
T	14794	7.2%
L	13549	6.6%
S	12853	6.2%
A	11989	5.8%
D	11411	5.5%
R	10727	5.2%
N	10183	4.9%
Other values (32)	56765	27.5%

Importer Add1
Text

MISSING

Distinct	163
Distinct (%)	2.1%
Missing	574
Missing (%)	6.9%
Memory size	1.1 MiB

Length

Max length	115
Median length	83
Mean length	60.239486
Min length	18

Characters and Unicode

Total characters	468362
Distinct characters	53
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	0.5%

Sample

1st row	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST
2nd row	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST
3rd row	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,
4th row	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST
5th row	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,

Value	Count	Frequency (%)
	3716	5.3%
andheri	2191	3.1%
floor	1602	2.3%
no	1547	2.2%
point	1349	1.9%
plot	1279	1.8%
road	1102	1.6%
w	1054	1.5%
west	1050	1.5%
western	1032	1.5%
Other values (806)	54570	77.4%

Most occurring characters

Value	Count	Frequency (%)
	62723	13.4%
A	41509	8.9%
,	29097	6.2%
R	28376	6.1%
N	26884	5.7%
O	25153	5.4%
E	24206	5.2%
I	20563	4.4%
T	20509	4.4%
H	16244	3.5%
Other values (43)	173098	37.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	328392	70.1%
Space Separator	62723	13.4%
Other Punctuation	41022	8.8%
Decimal Number	30714	6.6%
Dash Punctuation	2514	0.5%
Close Punctuation	1313	0.3%
Open Punctuation	1313	0.3%
Lowercase Letter	342	0.1%
Modifier Symbol	29	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	41509	12.6%
R	28376	8.6%
N	26884	8.2%
O	25153	7.7%
E	24206	7.4%
I	20563	6.3%
T	20509	6.2%
H	16244	4.9%
S	15857	4.8%
L	15335	4.7%
Other values (16)	93756	28.6%

Decimal Number

Value	Count	Frequency (%)
1	6293	20.5%
5	5720	18.6%
0	4273	13.9%
4	3335	10.9%
2	2885	9.4%
7	2146	7.0%
3	1896	6.2%
8	1695	5.5%
9	1371	4.5%
6	1100	3.6%

Other Punctuation

Value	Count	Frequency (%)
,	29097	70.9%
.	8559	20.9%
/	1636	4.0%
&	1136	2.8%
*	510	1.2%
;	84	0.2%

Lowercase Letter

Value	Count	Frequency (%)
n	86	25.1%
b	84	24.6%
s	84	24.6%
p	84	24.6%
a	2	0.6%
d	2	0.6%

Space Separator

Value	Count	Frequency (%)
	62723	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2514	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1313	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1313	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	328734	70.2%
Common	139628	29.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	41509	12.6%
R	28376	8.6%
N	26884	8.2%
O	25153	7.7%
E	24206	7.4%
I	20563	6.3%
T	20509	6.2%
H	16244	4.9%
S	15857	4.8%
L	15335	4.7%
Other values (22)	94098	28.6%

Common

Value	Count	Frequency (%)
	62723	44.9%
,	29097	20.8%
.	8559	6.1%
1	6293	4.5%
5	5720	4.1%
0	4273	3.1%
4	3335	2.4%
2	2885	2.1%
-	2514	1.8%
7	2146	1.5%
Other values (11)	12083	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	468362	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	62723	13.4%
A	41509	8.9%
,	29097	6.2%
R	28376	6.1%
N	26884	5.7%
O	25153	5.4%
E	24206	5.2%
I	20563	4.4%
T	20509	4.4%
H	16244	3.5%
Other values (43)	173098	37.0%

Importer City
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	43
Distinct (%)	0.6%
Missing	651
Missing (%)	7.8%
Memory size	774.5 KiB

MUMBAI	3851
Mumbai	2065
KOLKATA	365
VADODARA	275
New Delhi	230
Other values (38)	912

Length

Max length	13
Median length	6
Mean length	6.2922837
Min length	4

Characters and Unicode

Total characters	48438
Distinct characters	45
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.1%

Sample

1st row	MUMBAI
2nd row	MUMBAI
3rd row	VADODARA
4th row	MUMBAI
5th row	VADODARA

Common Values

Value	Count	Frequency (%)
MUMBAI	3851	46.1%
Mumbai	2065	24.7%
KOLKATA	365	4.4%
VADODARA	275	3.3%
New Delhi	230	2.8%
Delhi	200	2.4%
FARIDABAD	121	1.4%
NOIDA	70	0.8%
BANGALORE	64	0.8%
DELHI	64	0.8%
Other values (33)	393	4.7%
(Missing)	651	7.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mumbai	5916	74.6%
delhi	494	6.2%
kolkata	377	4.8%
vadodara	275	3.5%
new	230	2.9%
faridabad	121	1.5%
noida	70	0.9%
bangalore	66	0.8%
kanpur	62	0.8%
ahmedabad	41	0.5%
Other values (28)	278	3.5%

Most occurring characters

Value	Count	Frequency (%)
M	9855	20.3%
A	6247	12.9%
I	4217	8.7%
B	4128	8.5%
U	3889	8.0%
i	2550	5.3%
a	2321	4.8%
u	2206	4.6%
b	2085	4.3%
m	2067	4.3%
Other values (35)	8873	18.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	34545	71.3%
Lowercase Letter	13653	28.2%
Space Separator	234	0.5%
Other Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	9855	28.5%
A	6247	18.1%
I	4217	12.2%
B	4128	11.9%
U	3889	11.3%
D	1478	4.3%
O	843	2.4%
K	840	2.4%
R	551	1.6%
L	542	1.6%
Other values (12)	1955	5.7%

Lowercase Letter

Value	Count	Frequency (%)
i	2550	18.7%
a	2321	17.0%
u	2206	16.2%
b	2085	15.3%
m	2067	15.1%
e	699	5.1%
h	487	3.6%
l	446	3.3%
w	230	1.7%
r	145	1.1%
Other values (10)	417	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	4	66.7%
,	2	33.3%

Space Separator

Value	Count	Frequency (%)
	234	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48198	99.5%
Common	240	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	9855	20.4%
A	6247	13.0%
I	4217	8.7%
B	4128	8.6%
U	3889	8.1%
i	2550	5.3%
a	2321	4.8%
u	2206	4.6%
b	2085	4.3%
m	2067	4.3%
Other values (32)	8633	17.9%

Common

Value	Count	Frequency (%)
	234	97.5%
.	4	1.7%
,	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48438	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	9855	20.3%
A	6247	12.9%
I	4217	8.7%
B	4128	8.5%
U	3889	8.0%
i	2550	5.3%
a	2321	4.8%
u	2206	4.6%
b	2085	4.3%
m	2067	4.3%
Other values (35)	8873	18.3%

Importer Pincode
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	101
Distinct (%)	1.2%
Missing	39
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	362332.58

Minimum	0
Maximum	700091
Zeros	557
Zeros (%)	6.7%
Negative	0
Negative (%)	0.0%
Memory size	388.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	400009
median	400053
Q3	400066
95-th percentile	600040
Maximum	700091
Range	700091
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	145749.76
Coefficient of variation (CV)	0.40225409
Kurtosis	1.6616603
Mean	362332.58
Median Absolute Deviation (MAD)	40
Skewness	-0.82570795
Sum	3.0109837 × 10⁹
Variance	2.1242992 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
400021	1348	16.1%
400058	1327	15.9%
400093	1089	13.0%
400066	579	6.9%
0	557	6.7%
400009	325	3.9%
700017	282	3.4%
400059	245	2.9%
390023	240	2.9%
400011	219	2.6%
Other values (91)	2099	25.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	557	6.7%
110001	74	0.9%
110002	138	1.7%
110005	9	0.1%
110020	94	1.1%
110028	11	0.1%
110033	70	0.8%
110034	28	0.3%
110035	5	0.1%
110057	1	< 0.1%

Value	Count	Frequency (%)
700091	81	1.0%
700071	12	0.1%
700017	282	3.4%
700001	2	< 0.1%
682310	3	< 0.1%
603105	7	0.1%
600119	17	0.2%
600040	14	0.2%
600016	9	0.1%
562106	16	0.2%

Importer State
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	24
Distinct (%)	0.3%
Missing	594
Missing (%)	7.1%
Memory size	805.1 KiB

MAHARASHTRA	5900
WEST BENGAL	365
GUJARAT	347
DELHI	264
Delhi	230
Other values (19)	649

Length

Max length	14
Median length	11
Mean length	10.332044
Min length	5

Characters and Unicode

Total characters	80125
Distinct characters	36
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MAHARASHTRA
2nd row	MAHARASHTRA
3rd row	GUJARAT
4th row	MAHARASHTRA
5th row	GUJARAT

Common Values

Value	Count	Frequency (%)
MAHARASHTRA	5900	70.7%
WEST BENGAL	365	4.4%
GUJARAT	347	4.2%
DELHI	264	3.2%
Delhi	230	2.8%
UTTAR PRADESH	145	1.7%
Maharashtra	134	1.6%
HARYANA	121	1.4%
KARNATAKA	68	0.8%
TAMIL NADU	47	0.6%
Other values (14)	134	1.6%
(Missing)	594	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
maharashtra	6034	72.4%
delhi	494	5.9%
bengal	377	4.5%
west	377	4.5%
gujarat	361	4.3%
pradesh	151	1.8%
uttar	145	1.7%
haryana	121	1.5%
karnataka	70	0.8%
punjab	67	0.8%
Other values (8)	133	1.6%

Most occurring characters

Value	Count	Frequency (%)
A	25815	32.2%
R	12649	15.8%
H	12350	15.4%
T	7043	8.8%
S	6424	8.0%
M	6083	7.6%
E	1160	1.4%
G	741	0.9%
D	695	0.9%
L	693	0.9%
Other values (26)	6472	8.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	76912	96.0%
Lowercase Letter	2638	3.3%
Space Separator	575	0.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	25815	33.6%
R	12649	16.4%
H	12350	16.1%
T	7043	9.2%
S	6424	8.4%
M	6083	7.9%
E	1160	1.5%
G	741	1.0%
D	695	0.9%
L	693	0.9%
Other values (10)	3259	4.2%

Lowercase Letter

Value	Count	Frequency (%)
a	627	23.8%
h	505	19.1%
r	288	10.9%
e	258	9.8%
l	244	9.2%
i	230	8.7%
t	165	6.3%
s	151	5.7%
n	47	1.8%
j	41	1.6%
Other values (5)	82	3.1%

Space Separator

Value	Count	Frequency (%)
	575	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79550	99.3%
Common	575	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	25815	32.5%
R	12649	15.9%
H	12350	15.5%
T	7043	8.9%
S	6424	8.1%
M	6083	7.6%
E	1160	1.5%
G	741	0.9%
D	695	0.9%
L	693	0.9%
Other values (25)	5897	7.4%

Common

Value	Count	Frequency (%)
	575	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80125	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	25815	32.2%
R	12649	15.8%
H	12350	15.4%
T	7043	8.8%
S	6424	8.0%
M	6083	7.6%
E	1160	1.4%
G	741	0.9%
D	695	0.9%
L	693	0.9%
Other values (26)	6472	8.1%

Importer Phone
Text

MISSING

Distinct	209
Distinct (%)	2.6%
Missing	313
Missing (%)	3.7%
Memory size	968.6 KiB

Length

Max length	70
Median length	61
Mean length	31.985316
Min length	1

Characters and Unicode

Total characters	257034
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	0.6%

Sample

1st row	919820037286
2nd row	919819883380
3rd row	919076307694
4th row	919819883380
5th row	919076307694

Value	Count	Frequency (%)
022-66443333	976	11.7%
28357532	510	6.1%
917666986831	497	6.0%
65102323	475	5.7%
919820037286	406	4.9%
919870423455	364	4.4%
919773333523	351	4.2%
919322884854	315	3.8%
0	293	3.5%
919820689243	287	3.4%
Other values (170)	3878	46.4%

Most occurring characters

Value	Count	Frequency (%)
	164051	63.8%
3	14011	5.5%
9	12402	4.8%
2	11335	4.4%
8	10647	4.1%
1	9188	3.6%
6	8492	3.3%
0	7395	2.9%
4	6232	2.4%
7	5648	2.2%
Other values (16)	7633	3.0%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	164051	63.8%
Decimal Number	90535	35.2%
Dash Punctuation	1415	0.6%
Lowercase Letter	563	0.2%
Other Punctuation	281	0.1%
Uppercase Letter	189	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	14011	15.5%
9	12402	13.7%
2	11335	12.5%
8	10647	11.8%
1	9188	10.1%
6	8492	9.4%
0	7395	8.2%
4	6232	6.9%
7	5648	6.2%
5	5185	5.7%

Lowercase Letter

Value	Count	Frequency (%)
x	183	32.5%
f	183	32.5%
a	183	32.5%
n	7	1.2%
o	7	1.2%

Uppercase Letter

Value	Count	Frequency (%)
F	51	27.0%
A	51	27.0%
X	51	27.0%
N	18	9.5%
O	18	9.5%

Other Punctuation

Value	Count	Frequency (%)
/	212	75.4%
,	43	15.3%
.	25	8.9%
:	1	0.4%

Space Separator

Value	Count	Frequency (%)
	164051	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1415	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	256282	99.7%
Latin	752	0.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	164051	64.0%
3	14011	5.5%
9	12402	4.8%
2	11335	4.4%
8	10647	4.2%
1	9188	3.6%
6	8492	3.3%
0	7395	2.9%
4	6232	2.4%
7	5648	2.2%
Other values (6)	6881	2.7%

Latin

Value	Count	Frequency (%)
x	183	24.3%
f	183	24.3%
a	183	24.3%
F	51	6.8%
A	51	6.8%
X	51	6.8%
N	18	2.4%
O	18	2.4%
n	7	0.9%
o	7	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	257034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	164051	63.8%
3	14011	5.5%
9	12402	4.8%
2	11335	4.4%
8	10647	4.1%
1	9188	3.6%
6	8492	3.3%
0	7395	2.9%
4	6232	2.4%
7	5648	2.2%
Other values (16)	7633	3.0%

Importer E-mail
Text

MISSING

Distinct	149
Distinct (%)	2.1%
Missing	1235
Missing (%)	14.8%
Memory size	857.4 KiB

Length

Max length	55
Median length	35
Mean length	22.323166
Min length	12

Characters and Unicode

Total characters	158807
Distinct characters	60
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	0.5%

Sample

1st row	devdas_chandran@spl.co.in
2nd row	manish.rathod@jesons.net
3rd row	sunilrao@supertechimpex.com
4th row	manish.rathod@jesons.net
5th row	sunilrao@supertechimpex.com

Value	Count	Frequency (%)
info@visen.net	976	13.5%
vijay.chalke@pidilite.co.in	510	7.1%
nirmal@nikhiladhesives.com	497	6.9%
devdas_chandran@spl.co.in	406	5.6%
kiran@cjshahgroup.com	364	5.1%
shnair@bhansaliabs.com	351	4.9%
asha@chokhanigroup.com	315	4.4%
sasee@sanjaychemindia.com	287	4.0%
santosh@kljindia.com	282	3.9%
sunilrao@supertechimpex.com	240	3.3%
Other values (142)	2977	41.3%

Most occurring characters

Value	Count	Frequency (%)
a	14773	9.3%
i	13983	8.8%
n	11841	7.5%
s	10613	6.7%
c	10249	6.5%
o	10066	6.3%
.	9761	6.1%
e	9581	6.0%
h	8622	5.4%
m	8317	5.2%
Other values (50)	51001	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	140334	88.4%
Other Punctuation	16999	10.7%
Decimal Number	637	0.4%
Connector Punctuation	449	0.3%
Uppercase Letter	153	0.1%
Space Separator	139	0.1%
Dash Punctuation	96	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14773	10.5%
i	13983	10.0%
n	11841	8.4%
s	10613	7.6%
c	10249	7.3%
o	10066	7.2%
e	9581	6.8%
h	8622	6.1%
m	8317	5.9%
r	6130	4.4%
Other values (15)	36159	25.8%

Uppercase Letter

Value	Count	Frequency (%)
N	29	19.0%
E	21	13.7%
O	18	11.8%
I	16	10.5%
T	9	5.9%
S	8	5.2%
L	8	5.2%
R	8	5.2%
M	8	5.2%
P	8	5.2%
Other values (8)	20	13.1%

Decimal Number

Value	Count	Frequency (%)
2	190	29.8%
1	140	22.0%
5	131	20.6%
0	83	13.0%
9	32	5.0%
7	32	5.0%
4	12	1.9%
6	9	1.4%
3	8	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	9761	57.4%
@	7198	42.3%
/	29	0.2%
:	9	0.1%
,	2	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	449	100.0%

Space Separator

Value	Count	Frequency (%)
	139	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140487	88.5%
Common	18320	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14773	10.5%
i	13983	10.0%
n	11841	8.4%
s	10613	7.6%
c	10249	7.3%
o	10066	7.2%
e	9581	6.8%
h	8622	6.1%
m	8317	5.9%
r	6130	4.4%
Other values (33)	36312	25.8%

Common

Value	Count	Frequency (%)
.	9761	53.3%
@	7198	39.3%
_	449	2.5%
2	190	1.0%
1	140	0.8%
	139	0.8%
5	131	0.7%
-	96	0.5%
0	83	0.5%
9	32	0.2%
Other values (7)	101	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158807	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14773	9.3%
i	13983	8.8%
n	11841	7.5%
s	10613	6.7%
c	10249	6.5%
o	10066	6.3%
.	9761	6.1%
e	9581	6.0%
h	8622	5.4%
m	8317	5.2%
Other values (50)	51001	32.1%

Contact Person
Text

MISSING

Distinct	157
Distinct (%)	2.0%
Missing	594
Missing (%)	7.1%
Memory size	915.0 KiB

Length

Max length	35
Median length	35
Mean length	26.681238
Min length	6

Characters and Unicode

Total characters	206913
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	0.5%

Sample

1st row	M S RAMACHANDRAN
2nd row	MR DHIRESH GOSALIA
3rd row	SANJIV VASUDEVA
4th row	MR DHIRESH GOSALIA
5th row	SANJIV VASUDEVA

Value	Count	Frequency (%)
t.p.ramachandran	976	5.7%
m	757	4.4%
gupta	680	4.0%
sanghavi	547	3.2%
raman	510	3.0%
tandon	510	3.0%
jayantilal	497	2.9%
umesh	497	2.9%
jinesh	475	2.8%
m.shah	475	2.8%
Other values (306)	11118	65.2%

Most occurring characters

Value	Count	Frequency (%)
	94847	45.8%
A	24494	11.8%
N	10492	5.1%
R	8278	4.0%
H	7760	3.8%
M	7063	3.4%
S	6540	3.2%
I	6183	3.0%
T	4909	2.4%
L	4407	2.1%
Other values (17)	31940	15.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	108576	52.5%
Space Separator	94847	45.8%
Other Punctuation	3488	1.7%
Decimal Number	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	24494	22.6%
N	10492	9.7%
R	8278	7.6%
H	7760	7.1%
M	7063	6.5%
S	6540	6.0%
I	6183	5.7%
T	4909	4.5%
L	4407	4.1%
D	3931	3.6%
Other values (13)	24519	22.6%

Other Punctuation

Value	Count	Frequency (%)
.	3486	99.9%
,	2	0.1%

Space Separator

Value	Count	Frequency (%)
	94847	100.0%

Decimal Number

Value	Count	Frequency (%)
0	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	108576	52.5%
Common	98337	47.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	24494	22.6%
N	10492	9.7%
R	8278	7.6%
H	7760	7.1%
M	7063	6.5%
S	6540	6.0%
I	6183	5.7%
T	4909	4.5%
L	4407	4.1%
D	3931	3.6%
Other values (13)	24519	22.6%

Common

Value	Count	Frequency (%)
	94847	96.5%
.	3486	3.5%
0	2	< 0.1%
,	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	206913	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	94847	45.8%
A	24494	11.8%
N	10492	5.1%
R	8278	4.0%
H	7760	3.8%
M	7063	3.4%
S	6540	3.2%
I	6183	3.0%
T	4909	2.4%
L	4407	2.1%
Other values (17)	31940	15.4%

Exporter Name
Text

Distinct	203
Distinct (%)	2.4%
Missing	2
Missing (%)	< 0.1%
Memory size	935.4 KiB

Length

Max length	50
Median length	43
Mean length	26.087936
Min length	8

Characters and Unicode

Total characters	217756
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	0.7%

Sample

1st row	SABIC ASIA PACIFIC PTE LTD
2nd row	M S SHELL INTERNATIONAL EASTERN TRA
3rd row	SIPCHEM MARKETING COMPANY
4th row	M S SABIC ASIA PACIFIC PTE LTD
5th row	SHELL INTERNATIONAL EASTERN TRADING

Value	Count	Frequency (%)
ltd	3581	10.1%
international	2441	6.9%
pte	2367	6.7%
s	2350	6.6%
m	2149	6.0%
company	1808	5.1%
shell	1477	4.1%
eastern	1461	4.1%
trading	1239	3.5%
marketing	998	2.8%
Other values (263)	15720	44.2%

Most occurring characters

Value	Count	Frequency (%)
	27314	12.5%
E	20350	9.3%
A	18767	8.6%
T	18317	8.4%
N	18139	8.3%
I	14958	6.9%
L	13714	6.3%
R	12401	5.7%
C	11499	5.3%
S	10616	4.9%
Other values (36)	51681	23.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	188239	86.4%
Space Separator	27314	12.5%
Lowercase Letter	2156	1.0%
Dash Punctuation	47	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	20350	10.8%
A	18767	10.0%
T	18317	9.7%
N	18139	9.6%
I	14958	7.9%
L	13714	7.3%
R	12401	6.6%
C	11499	6.1%
S	10616	5.6%
O	8804	4.7%
Other values (15)	40674	21.6%

Lowercase Letter

Value	Count	Frequency (%)
i	312	14.5%
a	251	11.6%
e	247	11.5%
c	215	10.0%
t	169	7.8%
n	139	6.4%
m	119	5.5%
p	114	5.3%
r	87	4.0%
k	79	3.7%
Other values (9)	424	19.7%

Space Separator

Value	Count	Frequency (%)
	27314	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	47	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	190395	87.4%
Common	27361	12.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	20350	10.7%
A	18767	9.9%
T	18317	9.6%
N	18139	9.5%
I	14958	7.9%
L	13714	7.2%
R	12401	6.5%
C	11499	6.0%
S	10616	5.6%
O	8804	4.6%
Other values (34)	42830	22.5%

Common

Value	Count	Frequency (%)
	27314	99.8%
-	47	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	217756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27314	12.5%
E	20350	9.3%
A	18767	8.6%
T	18317	8.4%
N	18139	8.3%
I	14958	6.9%
L	13714	6.3%
R	12401	5.7%
C	11499	5.3%
S	10616	4.9%
Other values (36)	51681	23.7%

QTY
Text

Distinct	2433
Distinct (%)	29.1%
Missing	0
Missing (%)	0.0%
Memory size	769.4 KiB

Length

Max length	14
Median length	12
Mean length	5.7209247
Min length	4

Characters and Unicode

Total characters	47764
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2041 ?
Unique (%)	24.4%

Sample

1st row	4,000.40
2nd row	100.00
3rd row	100.00
4th row	2,500.25
5th row	485.14

Value	Count	Frequency (%)
100.00	990	11.9%
50.00	598	7.2%
200.00	545	6.5%
25.00	338	4.0%
500.00	320	3.8%
60.00	225	2.7%
150.00	200	2.4%
300.00	173	2.1%
42.00	166	2.0%
22.00	120	1.4%
Other values (2423)	4674	56.0%

Most occurring characters

Value	Count	Frequency (%)
0	20021	41.9%
.	8349	17.5%
1	3663	7.7%
5	3327	7.0%
2	3179	6.7%
4	1792	3.8%
9	1521	3.2%
3	1443	3.0%
6	1253	2.6%
8	1232	2.6%
Other values (2)	1984	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38615	80.8%
Other Punctuation	9149	19.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20021	51.8%
1	3663	9.5%
5	3327	8.6%
2	3179	8.2%
4	1792	4.6%
9	1521	3.9%
3	1443	3.7%
6	1253	3.2%
8	1232	3.2%
7	1184	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	8349	91.3%
,	800	8.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	47764	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20021	41.9%
.	8349	17.5%
1	3663	7.7%
5	3327	7.0%
2	3179	6.7%
4	1792	3.8%
9	1521	3.2%
3	1443	3.0%
6	1253	2.6%
8	1232	2.6%
Other values (2)	1984	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47764	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20021	41.9%
.	8349	17.5%
1	3663	7.7%
5	3327	7.0%
2	3179	6.7%
4	1792	3.8%
9	1521	3.2%
3	1443	3.0%
6	1253	2.6%
8	1232	2.6%
Other values (2)	1984	4.2%

Unit
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	747.2 KiB

MTS	7955
KGS	327
NOS	46
LTR	16
GMS	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	25047
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MTS
2nd row	MTS
3rd row	MTS
4th row	MTS
5th row	MTS

Common Values

Value	Count	Frequency (%)
MTS	7955	95.3%
KGS	327	3.9%
NOS	46	0.6%
LTR	16	0.2%
GMS	4	< 0.1%
PCS	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mts	7955	95.3%
kgs	327	3.9%
nos	46	0.6%
ltr	16	0.2%
gms	4	< 0.1%
pcs	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
S	8333	33.3%
T	7971	31.8%
M	7959	31.8%
G	331	1.3%
K	327	1.3%
N	46	0.2%
O	46	0.2%
L	16	0.1%
R	16	0.1%
P	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25047	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	8333	33.3%
T	7971	31.8%
M	7959	31.8%
G	331	1.3%
K	327	1.3%
N	46	0.2%
O	46	0.2%
L	16	0.1%
R	16	0.1%
P	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25047	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8333	33.3%
T	7971	31.8%
M	7959	31.8%
G	331	1.3%
K	327	1.3%
N	46	0.2%
O	46	0.2%
L	16	0.1%
R	16	0.1%
P	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25047	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	8333	33.3%
T	7971	31.8%
M	7959	31.8%
G	331	1.3%
K	327	1.3%
N	46	0.2%
O	46	0.2%
L	16	0.1%
R	16	0.1%
P	1	< 0.1%

Standard Qty
Text

Distinct	2454
Distinct (%)	29.4%
Missing	0
Missing (%)	0.0%
Memory size	804.2 KiB

Length

Max length	14
Median length	12
Mean length	9.9859863
Min length	4

Characters and Unicode

Total characters	83373
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2042 ?
Unique (%)	24.5%

Sample

1st row	40,00,400.00
2nd row	1,00,000.00
3rd row	1,00,000.00
4th row	25,00,250.00
5th row	4,85,140.00

Value	Count	Frequency (%)
1,00,000.00	987	11.8%
50,000.00	591	7.1%
2,00,000.00	544	6.5%
25,000.00	332	4.0%
5,00,000.00	319	3.8%
60,000.00	222	2.7%
1,50,000.00	200	2.4%
3,00,000.00	173	2.1%
42,000.00	166	2.0%
22,000.00	120	1.4%
Other values (2444)	4695	56.2%

Most occurring characters

Value	Count	Frequency (%)
0	43809	52.5%
,	12623	15.1%
.	8349	10.0%
1	3663	4.4%
5	3325	4.0%
2	3178	3.8%
4	1792	2.1%
9	1521	1.8%
3	1444	1.7%
6	1253	1.5%
Other values (2)	2416	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62401	74.8%
Other Punctuation	20972	25.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	43809	70.2%
1	3663	5.9%
5	3325	5.3%
2	3178	5.1%
4	1792	2.9%
9	1521	2.4%
3	1444	2.3%
6	1253	2.0%
8	1232	2.0%
7	1184	1.9%

Other Punctuation

Value	Count	Frequency (%)
,	12623	60.2%
.	8349	39.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	83373	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	43809	52.5%
,	12623	15.1%
.	8349	10.0%
1	3663	4.4%
5	3325	4.0%
2	3178	3.8%
4	1792	2.1%
9	1521	1.8%
3	1444	1.7%
6	1253	1.5%
Other values (2)	2416	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	83373	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	43809	52.5%
,	12623	15.1%
.	8349	10.0%
1	3663	4.4%
5	3325	4.0%
2	3178	3.8%
4	1792	2.1%
9	1521	1.8%
3	1444	1.7%
6	1253	1.5%
Other values (2)	2416	2.9%

Standard Unit
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	747.2 KiB

KGS	8286
NOS	47
LTR	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	25047
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	KGS
2nd row	KGS
3rd row	KGS
4th row	KGS
5th row	KGS

Common Values

Value	Count	Frequency (%)
KGS	8286	99.2%
NOS	47	0.6%
LTR	16	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kgs	8286	99.2%
nos	47	0.6%
ltr	16	0.2%

Most occurring characters

Value	Count	Frequency (%)
S	8333	33.3%
K	8286	33.1%
G	8286	33.1%
N	47	0.2%
O	47	0.2%
L	16	0.1%
T	16	0.1%
R	16	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25047	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	8333	33.3%
K	8286	33.1%
G	8286	33.1%
N	47	0.2%
O	47	0.2%
L	16	0.1%
T	16	0.1%
R	16	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25047	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8333	33.3%
K	8286	33.1%
G	8286	33.1%
N	47	0.2%
O	47	0.2%
L	16	0.1%
T	16	0.1%
R	16	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25047	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	8333	33.3%
K	8286	33.1%
G	8286	33.1%
N	47	0.2%
O	47	0.2%
L	16	0.1%
T	16	0.1%
R	16	0.1%

Unit Rate $
Text

Distinct	700
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	758.0 KiB

Length

Max length	9
Median length	4
Mean length	4.3202779
Min length	4

Characters and Unicode

Total characters	36070
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	395 ?
Unique (%)	4.7%

Sample

1st row	1.34
2nd row	1.37
3rd row	1.75
4th row	1.34
5th row	1.25

Value	Count	Frequency (%)
1.05	211	2.5%
1.15	194	2.3%
1.36	181	2.2%
1.12	172	2.1%
1.35	171	2.0%
1.38	168	2.0%
1.03	160	1.9%
1.17	156	1.9%
1.37	155	1.9%
1.07	150	1.8%
Other values (690)	6631	79.4%

Most occurring characters

Value	Count	Frequency (%)
1	8576	23.8%
.	8349	23.1%
2	3641	10.1%
0	3118	8.6%
3	2581	7.2%
4	2271	6.3%
5	1665	4.6%
9	1478	4.1%
7	1369	3.8%
8	1227	3.4%
Other values (2)	1795	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27139	75.2%
Other Punctuation	8931	24.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8576	31.6%
2	3641	13.4%
0	3118	11.5%
3	2581	9.5%
4	2271	8.4%
5	1665	6.1%
9	1478	5.4%
7	1369	5.0%
8	1227	4.5%
6	1213	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	8349	93.5%
,	582	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	36070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8576	23.8%
.	8349	23.1%
2	3641	10.1%
0	3118	8.6%
3	2581	7.2%
4	2271	6.3%
5	1665	4.6%
9	1478	4.1%
7	1369	3.8%
8	1227	3.4%
Other values (2)	1795	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8576	23.8%
.	8349	23.1%
2	3641	10.1%
0	3118	8.6%
3	2581	7.2%
4	2271	6.3%
5	1665	4.6%
9	1478	4.1%
7	1369	3.8%
8	1227	3.4%
Other values (2)	1795	5.0%

Unit Rate In FC
Text

Distinct	822
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Memory size	786.1 KiB

Length

Max length	9
Median length	8
Mean length	7.7635645
Min length	4

Characters and Unicode

Total characters	64818
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	221 ?
Unique (%)	2.6%

Sample

1st row	1,343.38
2nd row	1,365.00
3rd row	1,770.00
4th row	1,341.25
5th row	1,245.17

Value	Count	Frequency (%)
2,500.00	326	3.9%
1,380.00	200	2.4%
1,050.00	179	2.1%
1,080.00	174	2.1%
2,335.00	131	1.6%
2,300.00	125	1.5%
1,200.00	112	1.3%
1,100.00	110	1.3%
1,400.00	107	1.3%
1,175.00	98	1.2%
Other values (812)	6787	81.3%

Most occurring characters

Value	Count	Frequency (%)
0	18166	28.0%
1	9226	14.2%
.	8349	12.9%
,	7559	11.7%
5	4444	6.9%
2	3908	6.0%
3	3523	5.4%
4	2431	3.8%
7	1989	3.1%
6	1892	2.9%
Other values (2)	3331	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48910	75.5%
Other Punctuation	15908	24.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18166	37.1%
1	9226	18.9%
5	4444	9.1%
2	3908	8.0%
3	3523	7.2%
4	2431	5.0%
7	1989	4.1%
6	1892	3.9%
8	1775	3.6%
9	1556	3.2%

Other Punctuation

Value	Count	Frequency (%)
.	8349	52.5%
,	7559	47.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	64818	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18166	28.0%
1	9226	14.2%
.	8349	12.9%
,	7559	11.7%
5	4444	6.9%
2	3908	6.0%
3	3523	5.4%
4	2431	3.8%
7	1989	3.1%
6	1892	2.9%
Other values (2)	3331	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64818	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18166	28.0%
1	9226	14.2%
.	8349	12.9%
,	7559	11.7%
5	4444	6.9%
2	3908	6.0%
3	3523	5.4%
4	2431	3.8%
7	1989	3.1%
6	1892	2.9%
Other values (2)	3331	5.1%

Unit Rate Currency
Categorical

HIGH CORRELATION IMBALANCE

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	747.5 KiB

USD	7917
USD	203
INR	89
AED	40
JPY	31
Other values (8)	69

Length

Max length	4
Median length	3
Mean length	3.027668
Min length	3

Characters and Unicode

Total characters	25278
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	7917	94.8%
USD	203	2.4%
INR	89	1.1%
AED	40	0.5%
JPY	31	0.4%
EUR	18	0.2%
INR	17	0.2%
GBP	12	0.1%
SGD	10	0.1%
JPY	5	0.1%
Other values (3)	7	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usd	8120	97.3%
inr	106	1.3%
aed	43	0.5%
jpy	36	0.4%
eur	21	0.3%
gbp	12	0.1%
sgd	10	0.1%
chf	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
D	8173	32.3%
U	8141	32.2%
S	8130	32.2%
	231	0.9%
R	127	0.5%
I	106	0.4%
N	106	0.4%
E	64	0.3%
P	48	0.2%
A	43	0.2%
Other values (7)	109	0.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25047	99.1%
Space Separator	231	0.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
D	8173	32.6%
U	8141	32.5%
S	8130	32.5%
R	127	0.5%
I	106	0.4%
N	106	0.4%
E	64	0.3%
P	48	0.2%
A	43	0.2%
J	36	0.1%
Other values (6)	73	0.3%

Space Separator

Value	Count	Frequency (%)
	231	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25047	99.1%
Common	231	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	8173	32.6%
U	8141	32.5%
S	8130	32.5%
R	127	0.5%
I	106	0.4%
N	106	0.4%
E	64	0.3%
P	48	0.2%
A	43	0.2%
J	36	0.1%
Other values (6)	73	0.3%

Common

Value	Count	Frequency (%)
	231	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	8173	32.3%
U	8141	32.2%
S	8130	32.2%
	231	0.9%
R	127	0.5%
I	106	0.4%
N	106	0.4%
E	64	0.3%
P	48	0.2%
A	43	0.2%
Other values (7)	109	0.4%

Port of Destination
Categorical

HIGH CORRELATION IMBALANCE

Distinct	28
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	772.2 KiB

Kandla	4493
Hazira	1642
Jnpt	739
JNPT	620
Bombay Sea	289
Other values (23)	566

Length

Max length	18
Median length	6
Mean length	6.0565337
Min length	4

Characters and Unicode

Total characters	50566
Distinct characters	41
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Bombay Sea
2nd row	Hazira
3rd row	Hazira
4th row	Hazira
5th row	Hazira

Common Values

Value	Count	Frequency (%)
Kandla	4493	53.8%
Hazira	1642	19.7%
Jnpt	739	8.9%
JNPT	620	7.4%
Bombay Sea	289	3.5%
Ennore	150	1.8%
Bombay Air	89	1.1%
Calcutta Sea	81	1.0%
Bangalore Air	62	0.7%
Mundrasez	42	0.5%
Other values (18)	142	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kandla	4493	50.2%
hazira	1642	18.3%
jnpt	1359	15.2%
sea	416	4.6%
bombay	378	4.2%
air	184	2.1%
ennore	150	1.7%
calcutta	81	0.9%
bangalore	64	0.7%
madras	49	0.5%
Other values (20)	140	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	13621	26.9%
n	5692	11.3%
d	4696	9.3%
l	4657	9.2%
K	4494	8.9%
r	2212	4.4%
i	1866	3.7%
z	1692	3.3%
H	1657	3.3%
J	1359	2.7%
Other values (31)	8620	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39014	77.2%
Uppercase Letter	10912	21.6%
Space Separator	607	1.2%
Dash Punctuation	33	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13621	34.9%
n	5692	14.6%
d	4696	12.0%
l	4657	11.9%
r	2212	5.7%
i	1866	4.8%
z	1692	4.3%
t	903	2.3%
p	742	1.9%
e	710	1.8%
Other values (11)	2223	5.7%

Uppercase Letter

Value	Count	Frequency (%)
K	4494	41.2%
H	1657	15.2%
J	1359	12.5%
N	632	5.8%
P	622	5.7%
T	620	5.7%
B	443	4.1%
S	440	4.0%
A	188	1.7%
E	172	1.6%
Other values (8)	285	2.6%

Space Separator

Value	Count	Frequency (%)
	607	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49926	98.7%
Common	640	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13621	27.3%
n	5692	11.4%
d	4696	9.4%
l	4657	9.3%
K	4494	9.0%
r	2212	4.4%
i	1866	3.7%
z	1692	3.4%
H	1657	3.3%
J	1359	2.7%
Other values (29)	7980	16.0%

Common

Value	Count	Frequency (%)
	607	94.8%
-	33	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50566	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13621	26.9%
n	5692	11.3%
d	4696	9.3%
l	4657	9.2%
K	4494	8.9%
r	2212	4.4%
i	1866	3.7%
z	1692	3.3%
H	1657	3.3%
J	1359	2.7%
Other values (31)	8620	17.0%

Shipment Mode
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	747.2 KiB

Sea	8097
Air	184
Sez	60
SEZ	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	25047
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sea
2nd row	Sea
3rd row	Sea
4th row	Sea
5th row	Sea

Common Values

Value	Count	Frequency (%)
Sea	8097	97.0%
Air	184	2.2%
Sez	60	0.7%
SEZ	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sea	8097	97.0%
air	184	2.2%
sez	68	0.8%

Most occurring characters

Value	Count	Frequency (%)
S	8165	32.6%
e	8157	32.6%
a	8097	32.3%
A	184	0.7%
i	184	0.7%
r	184	0.7%
z	60	0.2%
E	8	< 0.1%
Z	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16682	66.6%
Uppercase Letter	8365	33.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8157	48.9%
a	8097	48.5%
i	184	1.1%
r	184	1.1%
z	60	0.4%

Uppercase Letter

Value	Count	Frequency (%)
S	8165	97.6%
A	184	2.2%
E	8	0.1%
Z	8	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25047	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	8165	32.6%
e	8157	32.6%
a	8097	32.3%
A	184	0.7%
i	184	0.7%
r	184	0.7%
z	60	0.2%
E	8	< 0.1%
Z	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25047	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	8165	32.6%
e	8157	32.6%
a	8097	32.3%
A	184	0.7%
i	184	0.7%
r	184	0.7%
z	60	0.2%
E	8	< 0.1%
Z	8	< 0.1%

Country of Origin
Categorical

HIGH CORRELATION

Distinct	29
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	792.9 KiB

Singapore	3244
Saudi Arabia	1313
China	1093
Kuwait	980
South Korea	685
Other values (24)	1034

Length

Max length	20
Median length	14
Mean length	8.5952809
Min length	4

Characters and Unicode

Total characters	71762
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Saudi Arabia
2nd row	Singapore
3rd row	Saudi Arabia
4th row	Saudi Arabia
5th row	Singapore

Common Values

Value	Count	Frequency (%)
Singapore	3244	38.9%
Saudi Arabia	1313	15.7%
China	1093	13.1%
Kuwait	980	11.7%
South Korea	685	8.2%
Malaysia	386	4.6%
Taiwan	237	2.8%
United States	84	1.0%
Germany	80	1.0%
Thailand	72	0.9%
Other values (19)	175	2.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
singapore	3244	31.0%
saudi	1313	12.6%
arabia	1313	12.6%
china	1093	10.5%
kuwait	980	9.4%
south	685	6.6%
korea	685	6.6%
malaysia	386	3.7%
taiwan	237	2.3%
united	101	1.0%
Other values (23)	412	3.9%

Most occurring characters

Value	Count	Frequency (%)
a	12079	16.8%
i	8790	12.2%
r	5411	7.5%
S	5342	7.4%
n	4980	6.9%
o	4632	6.5%
e	4263	5.9%
p	3293	4.6%
g	3266	4.6%
u	2986	4.2%
Other values (28)	16720	23.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	59213	82.5%
Uppercase Letter	10449	14.6%
Space Separator	2100	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12079	20.4%
i	8790	14.8%
r	5411	9.1%
n	4980	8.4%
o	4632	7.8%
e	4263	7.2%
p	3293	5.6%
g	3266	5.5%
u	2986	5.0%
t	1967	3.3%
Other values (10)	7546	12.7%

Uppercase Letter

Value	Count	Frequency (%)
S	5342	51.1%
K	1681	16.1%
A	1314	12.6%
C	1094	10.5%
M	386	3.7%
T	309	3.0%
U	101	1.0%
G	80	0.8%
I	49	0.5%
J	40	0.4%
Other values (7)	53	0.5%

Space Separator

Value	Count	Frequency (%)
	2100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	69662	97.1%
Common	2100	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	12079	17.3%
i	8790	12.6%
r	5411	7.8%
S	5342	7.7%
n	4980	7.1%
o	4632	6.6%
e	4263	6.1%
p	3293	4.7%
g	3266	4.7%
u	2986	4.3%
Other values (27)	14620	21.0%

Common

Value	Count	Frequency (%)
	2100	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71762	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	12079	16.8%
i	8790	12.2%
r	5411	7.5%
S	5342	7.4%
n	4980	6.9%
o	4632	6.5%
e	4263	5.9%
p	3293	4.6%
g	3266	4.6%
u	2986	4.2%
Other values (28)	16720	23.3%

Port Of Origin
Text

MISSING

Distinct	72
Distinct (%)	1.2%
Missing	2222
Missing (%)	26.6%
Memory size	739.7 KiB

Length

Max length	28
Median length	17
Mean length	8.9934715
Min length	2

Characters and Unicode

Total characters	55103
Distinct characters	51
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.4%

Sample

1st row	Na
2nd row	Na
3rd row	Na
4th row	Na
5th row	Na

Value	Count	Frequency (%)
zzz-unknown	1515	19.5%
op	1231	15.8%
singapore	1231	15.8%
shuaiba	784	10.1%
jubail	761	9.8%
na	649	8.4%
daesanseosan	273	3.5%
jingjiang	192	2.5%
johor	165	2.1%
mailiao	158	2.0%
Other values (78)	809	10.4%

Most occurring characters

Value	Count	Frequency (%)
n	7119	12.9%
a	6228	11.3%
Z	4552	8.3%
i	3815	6.9%
o	3704	6.7%
S	2045	3.7%
e	2025	3.7%
g	1869	3.4%
u	1809	3.3%
r	1795	3.3%
Other values (41)	20142	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38258	69.4%
Uppercase Letter	13544	24.6%
Space Separator	1641	3.0%
Dash Punctuation	1515	2.7%
Other Punctuation	145	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	7119	18.6%
a	6228	16.3%
i	3815	10.0%
o	3704	9.7%
e	2025	5.3%
g	1869	4.9%
u	1809	4.7%
r	1795	4.7%
b	1574	4.1%
k	1574	4.1%
Other values (15)	6746	17.6%

Uppercase Letter

Value	Count	Frequency (%)
Z	4552	33.6%
S	2045	15.1%
U	1523	11.2%
P	1373	10.1%
O	1231	9.1%
J	1145	8.5%
N	674	5.0%
D	274	2.0%
M	211	1.6%
G	149	1.1%
Other values (11)	367	2.7%

Other Punctuation

Value	Count	Frequency (%)
,	137	94.5%
.	4	2.8%
/	4	2.8%

Space Separator

Value	Count	Frequency (%)
	1641	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1515	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	51802	94.0%
Common	3301	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	7119	13.7%
a	6228	12.0%
Z	4552	8.8%
i	3815	7.4%
o	3704	7.2%
S	2045	3.9%
e	2025	3.9%
g	1869	3.6%
u	1809	3.5%
r	1795	3.5%
Other values (36)	16841	32.5%

Common

Value	Count	Frequency (%)
	1641	49.7%
-	1515	45.9%
,	137	4.2%
.	4	0.1%
/	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	7119	12.9%
a	6228	11.3%
Z	4552	8.3%
i	3815	6.9%
o	3704	6.7%
S	2045	3.7%
e	2025	3.7%
g	1869	3.4%
u	1809	3.3%
r	1795	3.3%
Other values (41)	20142	36.6%

Standard Unit Rate $
Text

Distinct	652
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Memory size	758.0 KiB

Length

Max length	8
Median length	4
Mean length	4.3188406
Min length	4

Characters and Unicode

Total characters	36058
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	379 ?
Unique (%)	4.5%

Sample

1st row	1.34
2nd row	1.37
3rd row	1.75
4th row	1.34
5th row	1.25

Value	Count	Frequency (%)
1.05	256	3.1%
1.07	227	2.7%
1.15	212	2.5%
1.12	197	2.4%
1.03	190	2.3%
1.36	167	2.0%
1.08	162	1.9%
1.17	161	1.9%
1.02	154	1.8%
1.04	152	1.8%
Other values (642)	6471	77.5%

Most occurring characters

Value	Count	Frequency (%)
1	8540	23.7%
.	8349	23.2%
2	3678	10.2%
0	3421	9.5%
3	2535	7.0%
4	2193	6.1%
5	1705	4.7%
9	1464	4.1%
7	1237	3.4%
8	1189	3.3%
Other values (2)	1747	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27101	75.2%
Other Punctuation	8957	24.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8540	31.5%
2	3678	13.6%
0	3421	12.6%
3	2535	9.4%
4	2193	8.1%
5	1705	6.3%
9	1464	5.4%
7	1237	4.6%
8	1189	4.4%
6	1139	4.2%

Other Punctuation

Value	Count	Frequency (%)
.	8349	93.2%
,	608	6.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	36058	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8540	23.7%
.	8349	23.2%
2	3678	10.2%
0	3421	9.5%
3	2535	7.0%
4	2193	6.1%
5	1705	4.7%
9	1464	4.1%
7	1237	3.4%
8	1189	3.3%
Other values (2)	1747	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8540	23.7%
.	8349	23.2%
2	3678	10.2%
0	3421	9.5%
3	2535	7.0%
4	2193	6.1%
5	1705	4.7%
9	1464	4.1%
7	1237	3.4%
8	1189	3.3%
Other values (2)	1747	4.8%

Month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	788.0 KiB

Mar-2023	825
Jun-2022	768
Jul-2022	756
Nov-2022	718
Jan-2023	702
Other values (7)	4580

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	66792
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Apr-2022
2nd row	Apr-2022
3rd row	Apr-2022
4th row	Apr-2022
5th row	Apr-2022

Common Values

Value	Count	Frequency (%)
Mar-2023	825	9.9%
Jun-2022	768	9.2%
Jul-2022	756	9.1%
Nov-2022	718	8.6%
Jan-2023	702	8.4%
Aug-2022	694	8.3%
Dec-2022	685	8.2%
Feb-2023	669	8.0%
Apr-2022	654	7.8%
May-2022	650	7.8%
Other values (2)	1228	14.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mar-2023	825	9.9%
jun-2022	768	9.2%
jul-2022	756	9.1%
nov-2022	718	8.6%
jan-2023	702	8.4%
aug-2022	694	8.3%
dec-2022	685	8.2%
feb-2023	669	8.0%
apr-2022	654	7.8%
may-2022	650	7.8%
Other values (2)	1228	14.7%

Most occurring characters

Value	Count	Frequency (%)
2	22851	34.2%
-	8349	12.5%
0	8349	12.5%
J	2226	3.3%
u	2218	3.3%
3	2196	3.3%
a	2177	3.3%
e	1984	3.0%
r	1479	2.2%
M	1475	2.2%
Other values (16)	13488	20.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33396	50.0%
Lowercase Letter	16698	25.0%
Dash Punctuation	8349	12.5%
Uppercase Letter	8349	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	2218	13.3%
a	2177	13.0%
e	1984	11.9%
r	1479	8.9%
n	1470	8.8%
p	1284	7.7%
c	1283	7.7%
l	756	4.5%
v	718	4.3%
o	718	4.3%
Other values (4)	2611	15.6%

Uppercase Letter

Value	Count	Frequency (%)
J	2226	26.7%
M	1475	17.7%
A	1348	16.1%
N	718	8.6%
D	685	8.2%
F	669	8.0%
S	630	7.5%
O	598	7.2%

Decimal Number

Value	Count	Frequency (%)
2	22851	68.4%
0	8349	25.0%
3	2196	6.6%

Dash Punctuation

Value	Count	Frequency (%)
-	8349	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	41745	62.5%
Latin	25047	37.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
J	2226	8.9%
u	2218	8.9%
a	2177	8.7%
e	1984	7.9%
r	1479	5.9%
M	1475	5.9%
n	1470	5.9%
A	1348	5.4%
p	1284	5.1%
c	1283	5.1%
Other values (12)	8103	32.4%

Common

Value	Count	Frequency (%)
2	22851	54.7%
-	8349	20.0%
0	8349	20.0%
3	2196	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66792	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	22851	34.2%
-	8349	12.5%
0	8349	12.5%
J	2226	3.3%
u	2218	3.3%
3	2196	3.3%
a	2177	3.3%
e	1984	3.0%
r	1479	2.2%
M	1475	2.2%
Other values (16)	13488	20.2%

Record Id
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	8349
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62817553

Minimum	155596
Maximum	1.1584406 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	388.5 KiB

Quantile statistics

Minimum	155596
5-th percentile	6092111.8
Q1	23667365
median	77607338
Q3	91442358
95-th percentile	1.1357875 × 10⁸
Maximum	1.1584406 × 10⁸
Range	1.1568846 × 10⁸
Interquartile range (IQR)	67774993

Descriptive statistics

Standard deviation	37082287
Coefficient of variation (CV)	0.59031728
Kurtosis	-1.4947367
Mean	62817553
Median Absolute Deviation (MAD)	30168187
Skewness	-0.25250438
Sum	5.2446375 × 10¹¹
Variance	1.375096 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29611604	1	< 0.1%
115588755	1	< 0.1%
115588745	1	< 0.1%
115588843	1	< 0.1%
115589094	1	< 0.1%
115588801	1	< 0.1%
115588799	1	< 0.1%
115588747	1	< 0.1%
115588784	1	< 0.1%
115588750	1	< 0.1%
Other values (8339)	8339	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
155596	1	< 0.1%
168158	1	< 0.1%
276707	1	< 0.1%
286555	1	< 0.1%
286661	1	< 0.1%
297361	1	< 0.1%
347464	1	< 0.1%
354425	1	< 0.1%
382689	1	< 0.1%
417443	1	< 0.1%

Value	Count	Frequency (%)
115844056	1	< 0.1%
115844055	1	< 0.1%
115844049	1	< 0.1%
115844035	1	< 0.1%
115844033	1	< 0.1%
115844032	1	< 0.1%
115844021	1	< 0.1%
115844006	1	< 0.1%
115843987	1	< 0.1%
115843986	1	< 0.1%

Importer Name- Unified
Text

Distinct	199
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	924.8 KiB

Length

Max length	115
Median length	47
Mean length	24.777937
Min length	8

Characters and Unicode

Total characters	206871
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	0.7%

Sample

1st row	SUPREME PETROCHEM LTD
2nd row	SHIVA PERFORMANCE MATERIALS PRIVATE LIMITED
3rd row	JESONS INDUSTRIES LIMITED
4th row	INEOS STYROLUTION INDIA LIMITED
5th row	JESONS INDUSTRIES LIMITED

Value	Count	Frequency (%)
ltd	3759	12.2%
limited	3055	9.9%
pvt	1811	5.9%
industries	1286	4.2%
chemicals	1157	3.7%
india	999	3.2%
visen	976	3.2%
private	878	2.8%
polymers	674	2.2%
petrochem	590	1.9%
Other values (325)	15703	50.8%

Most occurring characters

Value	Count	Frequency (%)
	22539	10.9%
I	22379	10.8%
E	19098	9.2%
T	14827	7.2%
L	13558	6.6%
S	12897	6.2%
A	12041	5.8%
D	11455	5.5%
R	10758	5.2%
N	10228	4.9%
Other values (43)	57091	27.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	184048	89.0%
Space Separator	22539	10.9%
Decimal Number	140	0.1%
Lowercase Letter	138	0.1%
Dash Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	22379	12.2%
E	19098	10.4%
T	14827	8.1%
L	13558	7.4%
S	12897	7.0%
A	12041	6.5%
D	11455	6.2%
R	10758	5.8%
N	10228	5.6%
C	9731	5.3%
Other values (16)	47076	25.6%

Lowercase Letter

Value	Count	Frequency (%)
t	20	14.5%
n	18	13.0%
r	14	10.1%
i	14	10.1%
a	10	7.2%
e	8	5.8%
y	8	5.8%
g	8	5.8%
d	8	5.8%
v	6	4.3%
Other values (6)	24	17.4%

Decimal Number

Value	Count	Frequency (%)
0	46	32.9%
1	45	32.1%
5	40	28.6%
2	2	1.4%
3	2	1.4%
4	2	1.4%
7	1	0.7%
8	1	0.7%
6	1	0.7%

Space Separator

Value	Count	Frequency (%)
	22539	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	184186	89.0%
Common	22685	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	22379	12.2%
E	19098	10.4%
T	14827	8.1%
L	13558	7.4%
S	12897	7.0%
A	12041	6.5%
D	11455	6.2%
R	10758	5.8%
N	10228	5.6%
C	9731	5.3%
Other values (32)	47214	25.6%

Common

Value	Count	Frequency (%)
	22539	99.4%
0	46	0.2%
1	45	0.2%
5	40	0.2%
-	6	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	2	< 0.1%
7	1	< 0.1%
8	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	206871	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22539	10.9%
I	22379	10.8%
E	19098	9.2%
T	14827	7.2%
L	13558	6.6%
S	12897	6.2%
A	12041	5.8%
D	11455	5.5%
R	10758	5.2%
N	10228	4.9%
Other values (43)	57091	27.6%

Exporter Name- Unified
Text

Distinct	209
Distinct (%)	2.5%
Missing	2
Missing (%)	< 0.1%
Memory size	935.9 KiB

Length

Max length	50
Median length	42
Mean length	26.148317
Min length	8

Characters and Unicode

Total characters	218260
Distinct characters	47
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	0.7%

Sample

1st row	SABIC ASIA PACIFIC PTE LTD
2nd row	M S SHELL INTERNATIONAL EASTERN TRA
3rd row	SIPCHEM MARKETING COMPANY
4th row	M S SABIC ASIA PACIFIC PTE LTD
5th row	SHELL INTERNATIONAL EASTERN TRADING

Value	Count	Frequency (%)
ltd	3578	10.0%
international	2441	6.8%
pte	2367	6.6%
s	2350	6.6%
m	2149	6.0%
company	1753	4.9%
shell	1477	4.1%
eastern	1461	4.1%
trading	1230	3.4%
marketing	980	2.7%
Other values (275)	15892	44.5%

Most occurring characters

Value	Count	Frequency (%)
	27401	12.6%
E	20523	9.4%
A	18814	8.6%
T	18542	8.5%
N	18062	8.3%
I	15258	7.0%
L	13692	6.3%
R	12386	5.7%
C	11686	5.4%
S	10838	5.0%
Other values (37)	51058	23.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	189177	86.7%
Space Separator	27401	12.6%
Lowercase Letter	1629	0.7%
Dash Punctuation	47	< 0.1%
Decimal Number	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	20523	10.8%
A	18814	9.9%
T	18542	9.8%
N	18062	9.5%
I	15258	8.1%
L	13692	7.2%
R	12386	6.5%
C	11686	6.2%
S	10838	5.7%
O	8795	4.6%
Other values (15)	40581	21.5%

Lowercase Letter

Value	Count	Frequency (%)
e	209	12.8%
a	169	10.4%
i	165	10.1%
n	163	10.0%
m	123	7.6%
p	118	7.2%
c	111	6.8%
r	100	6.1%
k	80	4.9%
t	79	4.8%
Other values (9)	312	19.2%

Space Separator

Value	Count	Frequency (%)
	27401	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	47	100.0%

Decimal Number

Value	Count	Frequency (%)
7	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	190806	87.4%
Common	27454	12.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	20523	10.8%
A	18814	9.9%
T	18542	9.7%
N	18062	9.5%
I	15258	8.0%
L	13692	7.2%
R	12386	6.5%
C	11686	6.1%
S	10838	5.7%
O	8795	4.6%
Other values (34)	42210	22.1%

Common

Value	Count	Frequency (%)
	27401	99.8%
-	47	0.2%
7	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	218260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27401	12.6%
E	20523	9.4%
A	18814	8.6%
T	18542	8.5%
N	18062	8.3%
I	15258	7.0%
L	13692	6.3%
R	12386	5.7%
C	11686	5.4%
S	10838	5.0%
Other values (37)	51058	23.4%

Importer Add1- Unified
Text

MISSING

Distinct	183
Distinct (%)	2.4%
Missing	575
Missing (%)	6.9%
Memory size	1.1 MiB

Length

Max length	132
Median length	104
Mean length	60.626833
Min length	18

Characters and Unicode

Total characters	471313
Distinct characters	71
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	0.7%

Sample

1st row	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST
2nd row	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST
3rd row	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,
4th row	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST
5th row	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,

Value	Count	Frequency (%)
	3653	5.2%
andheri	2152	3.1%
floor	1602	2.3%
no	1512	2.1%
point	1349	1.9%
plot	1238	1.8%
road	1103	1.6%
western	1034	1.5%
west	1025	1.5%
w	1013	1.4%
Other values (907)	54785	77.7%

Most occurring characters

Value	Count	Frequency (%)
	62700	13.3%
A	41795	8.9%
,	29276	6.2%
R	28431	6.0%
N	27100	5.7%
O	25244	5.4%
E	24231	5.1%
I	20868	4.4%
T	20564	4.4%
H	16260	3.4%
Other values (61)	174844	37.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	330085	70.0%
Space Separator	62700	13.3%
Other Punctuation	41228	8.7%
Decimal Number	31327	6.6%
Dash Punctuation	2570	0.5%
Open Punctuation	1343	0.3%
Close Punctuation	1343	0.3%
Lowercase Letter	650	0.1%
Control	30	< 0.1%
Modifier Symbol	29	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	41795	12.7%
R	28431	8.6%
N	27100	8.2%
O	25244	7.6%
E	24231	7.3%
I	20868	6.3%
T	20564	6.2%
H	16260	4.9%
S	15869	4.8%
L	15333	4.6%
Other values (16)	94390	28.6%

Lowercase Letter

Value	Count	Frequency (%)
n	104	16.0%
s	102	15.7%
b	90	13.8%
p	84	12.9%
a	80	12.3%
r	30	4.6%
h	30	4.6%
e	24	3.7%
i	24	3.7%
d	20	3.1%
Other values (8)	62	9.5%

Decimal Number

Value	Count	Frequency (%)
1	6322	20.2%
5	5774	18.4%
0	4535	14.5%
4	3421	10.9%
2	2895	9.2%
7	2171	6.9%
3	1928	6.2%
8	1738	5.5%
9	1416	4.5%
6	1127	3.6%

Other Punctuation

Value	Count	Frequency (%)
,	29276	71.0%
.	8612	20.9%
/	1638	4.0%
&	1096	2.7%
*	512	1.2%
;	84	0.2%
:	10	< 0.1%

Control

Value	Count	Frequency (%)
	26	86.7%
	2	6.7%
	2	6.7%

Math Symbol

Value	Count	Frequency (%)
\|	7	87.5%
+	1	12.5%

Space Separator

Value	Count	Frequency (%)
	62700	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2570	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1343	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1343	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	330735	70.2%
Common	140578	29.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	41795	12.6%
R	28431	8.6%
N	27100	8.2%
O	25244	7.6%
E	24231	7.3%
I	20868	6.3%
T	20564	6.2%
H	16260	4.9%
S	15869	4.8%
L	15333	4.6%
Other values (34)	95040	28.7%

Common

Value	Count	Frequency (%)
	62700	44.6%
,	29276	20.8%
.	8612	6.1%
1	6322	4.5%
5	5774	4.1%
0	4535	3.2%
4	3421	2.4%
2	2895	2.1%
-	2570	1.8%
7	2171	1.5%
Other values (17)	12302	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	471307	> 99.9%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	62700	13.3%
A	41795	8.9%
,	29276	6.2%
R	28431	6.0%
N	27100	5.7%
O	25244	5.4%
E	24231	5.1%
I	20868	4.4%
T	20564	4.4%
H	16260	3.4%
Other values (58)	174838	37.1%

None

Value	Count	Frequency (%)
â	2	33.3%
	2	33.3%
	2	33.3%

Importer City- Unified
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	44
Distinct (%)	0.6%
Missing	742
Missing (%)	8.9%
Memory size	774.7 KiB

MUMBAI	3778
Mumbai	2049
KOLKATA	365
VADODARA	274
New Delhi	229
Other values (39)	912

Length

Max length	22
Median length	6
Mean length	6.3066912
Min length	4

Characters and Unicode

Total characters	47975
Distinct characters	45
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.1%

Sample

1st row	MUMBAI
2nd row	MUMBAI
3rd row	VADODARA
4th row	MUMBAI
5th row	VADODARA

Common Values

Value	Count	Frequency (%)
MUMBAI	3778	45.3%
Mumbai	2049	24.5%
KOLKATA	365	4.4%
VADODARA	274	3.3%
New Delhi	229	2.7%
Delhi	200	2.4%
FARIDABAD	121	1.4%
NOIDA	70	0.8%
DELHI	64	0.8%
BANGALORE	63	0.8%
Other values (34)	394	4.7%
(Missing)	742	8.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mumbai	5827	74.2%
delhi	493	6.3%
kolkata	377	4.8%
vadodara	274	3.5%
new	229	2.9%
faridabad	121	1.5%
noida	70	0.9%
bangalore	65	0.8%
kanpur	62	0.8%
ludhiana	41	0.5%
Other values (32)	297	3.8%

Most occurring characters

Value	Count	Frequency (%)
M	9703	20.2%
A	6198	12.9%
I	4141	8.6%
B	4052	8.4%
U	3816	8.0%
i	2533	5.3%
a	2305	4.8%
u	2190	4.6%
b	2069	4.3%
m	2051	4.3%
Other values (35)	8917	18.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	34145	71.2%
Lowercase Letter	13567	28.3%
Space Separator	257	0.5%
Other Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	9703	28.4%
A	6198	18.2%
I	4141	12.1%
B	4052	11.9%
U	3816	11.2%
D	1477	4.3%
O	846	2.5%
K	845	2.5%
R	559	1.6%
L	541	1.6%
Other values (12)	1967	5.8%

Lowercase Letter

Value	Count	Frequency (%)
i	2533	18.7%
a	2305	17.0%
u	2190	16.1%
b	2069	15.3%
m	2051	15.1%
e	697	5.1%
h	486	3.6%
l	445	3.3%
w	229	1.7%
r	145	1.1%
Other values (10)	417	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	4	66.7%
,	2	33.3%

Space Separator

Value	Count	Frequency (%)
	257	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47712	99.5%
Common	263	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	9703	20.3%
A	6198	13.0%
I	4141	8.7%
B	4052	8.5%
U	3816	8.0%
i	2533	5.3%
a	2305	4.8%
u	2190	4.6%
b	2069	4.3%
m	2051	4.3%
Other values (32)	8654	18.1%

Common

Value	Count	Frequency (%)
	257	97.7%
.	4	1.5%
,	2	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	9703	20.2%
A	6198	12.9%
I	4141	8.6%
B	4052	8.4%
U	3816	8.0%
i	2533	5.3%
a	2305	4.8%
u	2190	4.6%
b	2069	4.3%
m	2051	4.3%
Other values (35)	8917	18.6%

Importer Pincode- Unified
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	101
Distinct (%)	1.2%
Missing	137
Missing (%)	1.6%
Infinite	0
Infinite (%)	0.0%
Mean	361875.51

Minimum	0
Maximum	700091
Zeros	557
Zeros (%)	6.7%
Negative	0
Negative (%)	0.0%
Memory size	388.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	400009
median	400051
Q3	400066
95-th percentile	600040
Maximum	700091
Range	700091
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	146493.91
Coefficient of variation (CV)	0.40481851
Kurtosis	1.6095963
Mean	361875.51
Median Absolute Deviation (MAD)	40
Skewness	-0.81393197
Sum	2.9717217 × 10⁹
Variance	2.1460464 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
400021	1348	16.1%
400058	1287	15.4%
400093	1063	12.7%
400066	577	6.9%
0	557	6.7%
400009	325	3.9%
700017	282	3.4%
390023	240	2.9%
400059	239	2.9%
400011	219	2.6%
Other values (91)	2075	24.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	557	6.7%
110001	73	0.9%
110002	138	1.7%
110005	9	0.1%
110020	94	1.1%
110028	11	0.1%
110033	70	0.8%
110034	28	0.3%
110035	5	0.1%
110057	1	< 0.1%

Value	Count	Frequency (%)
700091	81	1.0%
700071	12	0.1%
700017	282	3.4%
700001	2	< 0.1%
682310	3	< 0.1%
603105	7	0.1%
600119	16	0.2%
600040	14	0.2%
600016	9	0.1%
562106	16	0.2%

Importer State- Unified
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	24
Distinct (%)	0.3%
Missing	692
Missing (%)	8.3%
Memory size	804.7 KiB

MAHARASHTRA	5811
WEST BENGAL	365
GUJARAT	344
DELHI	264
Delhi	229
Other values (19)	644

Length

Max length	14
Median length	11
Mean length	10.326237
Min length	5

Characters and Unicode

Total characters	79068
Distinct characters	36
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MAHARASHTRA
2nd row	MAHARASHTRA
3rd row	GUJARAT
4th row	MAHARASHTRA
5th row	GUJARAT

Common Values

Value	Count	Frequency (%)
MAHARASHTRA	5811	69.6%
WEST BENGAL	365	4.4%
GUJARAT	344	4.1%
DELHI	264	3.2%
Delhi	229	2.7%
UTTAR PRADESH	145	1.7%
Maharashtra	131	1.6%
HARYANA	121	1.4%
KARNATAKA	67	0.8%
TAMIL NADU	46	0.6%
Other values (14)	134	1.6%
(Missing)	692	8.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
maharashtra	5942	72.2%
delhi	493	6.0%
bengal	377	4.6%
west	377	4.6%
gujarat	358	4.3%
pradesh	151	1.8%
uttar	145	1.8%
haryana	121	1.5%
karnataka	69	0.8%
punjab	67	0.8%
Other values (8)	131	1.6%

Most occurring characters

Value	Count	Frequency (%)
A	25447	32.2%
R	12467	15.8%
H	12172	15.4%
T	6949	8.8%
S	6335	8.0%
M	5990	7.6%
E	1160	1.5%
G	738	0.9%
D	693	0.9%
L	692	0.9%
Other values (26)	6425	8.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	75890	96.0%
Lowercase Letter	2604	3.3%
Space Separator	574	0.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	25447	33.5%
R	12467	16.4%
H	12172	16.0%
T	6949	9.2%
S	6335	8.3%
M	5990	7.9%
E	1160	1.5%
G	738	1.0%
D	693	0.9%
L	692	0.9%
Other values (10)	3247	4.3%

Lowercase Letter

Value	Count	Frequency (%)
a	615	23.6%
h	498	19.1%
r	282	10.8%
e	257	9.9%
l	243	9.3%
i	229	8.8%
t	162	6.2%
s	148	5.7%
n	47	1.8%
j	41	1.6%
Other values (5)	82	3.1%

Space Separator

Value	Count	Frequency (%)
	574	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	78494	99.3%
Common	574	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	25447	32.4%
R	12467	15.9%
H	12172	15.5%
T	6949	8.9%
S	6335	8.1%
M	5990	7.6%
E	1160	1.5%
G	738	0.9%
D	693	0.9%
L	692	0.9%
Other values (25)	5851	7.5%

Common

Value	Count	Frequency (%)
	574	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79068	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	25447	32.2%
R	12467	15.8%
H	12172	15.4%
T	6949	8.8%
S	6335	8.0%
M	5990	7.6%
E	1160	1.5%
G	738	0.9%
D	693	0.9%
L	692	0.9%
Other values (26)	6425	8.1%

Importer Phone- Unified
Text

MISSING

Distinct	209
Distinct (%)	2.6%
Missing	411
Missing (%)	4.9%
Memory size	963.2 KiB

Length

Max length	70
Median length	61
Mean length	31.892542
Min length	1

Characters and Unicode

Total characters	253163
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	0.7%

Sample

1st row	919820037286
2nd row	919819883380
3rd row	919076307694
4th row	919819883380
5th row	919076307694

Value	Count	Frequency (%)
022-66443333	936	11.3%
28357532	510	6.2%
917666986831	497	6.0%
65102323	475	5.8%
919820037286	387	4.7%
919870423455	364	4.4%
919773333523	351	4.3%
919322884854	315	3.8%
0	293	3.6%
919820689243	287	3.5%
Other values (170)	3836	46.5%

Most occurring characters

Value	Count	Frequency (%)
	161419	63.8%
3	13772	5.4%
9	12293	4.9%
2	11162	4.4%
8	10525	4.2%
1	9108	3.6%
6	8378	3.3%
0	7266	2.9%
4	6114	2.4%
7	5599	2.2%
Other values (16)	7527	3.0%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	161419	63.8%
Decimal Number	89373	35.3%
Dash Punctuation	1368	0.5%
Lowercase Letter	545	0.2%
Other Punctuation	274	0.1%
Uppercase Letter	184	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	13772	15.4%
9	12293	13.8%
2	11162	12.5%
8	10525	11.8%
1	9108	10.2%
6	8378	9.4%
0	7266	8.1%
4	6114	6.8%
7	5599	6.3%
5	5156	5.8%

Lowercase Letter

Value	Count	Frequency (%)
x	177	32.5%
f	177	32.5%
a	177	32.5%
n	7	1.3%
o	7	1.3%

Uppercase Letter

Value	Count	Frequency (%)
F	50	27.2%
A	50	27.2%
X	50	27.2%
N	17	9.2%
O	17	9.2%

Other Punctuation

Value	Count	Frequency (%)
/	206	75.2%
,	43	15.7%
.	24	8.8%
:	1	0.4%

Space Separator

Value	Count	Frequency (%)
	161419	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1368	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	252434	99.7%
Latin	729	0.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	161419	63.9%
3	13772	5.5%
9	12293	4.9%
2	11162	4.4%
8	10525	4.2%
1	9108	3.6%
6	8378	3.3%
0	7266	2.9%
4	6114	2.4%
7	5599	2.2%
Other values (6)	6798	2.7%

Latin

Value	Count	Frequency (%)
x	177	24.3%
f	177	24.3%
a	177	24.3%
F	50	6.9%
A	50	6.9%
X	50	6.9%
N	17	2.3%
O	17	2.3%
n	7	1.0%
o	7	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	253163	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	161419	63.8%
3	13772	5.4%
9	12293	4.9%
2	11162	4.4%
8	10525	4.2%
1	9108	3.6%
6	8378	3.3%
0	7266	2.9%
4	6114	2.4%
7	5599	2.2%
Other values (16)	7527	3.0%

Importer E-Mail- Unified
Text

MISSING

Distinct	149
Distinct (%)	2.1%
Missing	1333
Missing (%)	16.0%
Memory size	853.9 KiB

Length

Max length	55
Median length	35
Mean length	22.368871
Min length	12

Characters and Unicode

Total characters	156940
Distinct characters	60
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	0.5%

Sample

1st row	devdas_chandran@spl.co.in
2nd row	manish.rathod@jesons.net
3rd row	sunilrao@supertechimpex.com
4th row	manish.rathod@jesons.net
5th row	sunilrao@supertechimpex.com

Value	Count	Frequency (%)
info@visen.net	936	13.2%
vijay.chalke@pidilite.co.in	510	7.2%
nirmal@nikhiladhesives.com	497	7.0%
devdas_chandran@spl.co.in	387	5.4%
kiran@cjshahgroup.com	364	5.1%
shnair@bhansaliabs.com	351	4.9%
asha@chokhanigroup.com	315	4.4%
sasee@sanjaychemindia.com	287	4.0%
santosh@kljindia.com	282	4.0%
sunilrao@supertechimpex.com	240	3.4%
Other values (142)	2938	41.3%

Most occurring characters

Value	Count	Frequency (%)
a	14644	9.3%
i	13845	8.8%
n	11607	7.4%
s	10488	6.7%
c	10178	6.5%
o	9946	6.3%
.	9628	6.1%
e	9420	6.0%
h	8557	5.5%
m	8271	5.3%
Other values (50)	50356	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	138721	88.4%
Other Punctuation	16768	10.7%
Decimal Number	633	0.4%
Connector Punctuation	430	0.3%
Uppercase Letter	153	0.1%
Space Separator	139	0.1%
Dash Punctuation	96	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14644	10.6%
i	13845	10.0%
n	11607	8.4%
s	10488	7.6%
c	10178	7.3%
o	9946	7.2%
e	9420	6.8%
h	8557	6.2%
m	8271	6.0%
r	6049	4.4%
Other values (15)	35716	25.7%

Uppercase Letter

Value	Count	Frequency (%)
N	29	19.0%
E	21	13.7%
O	18	11.8%
I	16	10.5%
T	9	5.9%
S	8	5.2%
L	8	5.2%
R	8	5.2%
M	8	5.2%
P	8	5.2%
Other values (8)	20	13.1%

Decimal Number

Value	Count	Frequency (%)
2	190	30.0%
1	139	22.0%
5	130	20.5%
0	83	13.1%
9	31	4.9%
7	31	4.9%
4	12	1.9%
6	9	1.4%
3	8	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	9628	57.4%
@	7100	42.3%
/	29	0.2%
:	9	0.1%
,	2	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	430	100.0%

Space Separator

Value	Count	Frequency (%)
	139	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	138874	88.5%
Common	18066	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14644	10.5%
i	13845	10.0%
n	11607	8.4%
s	10488	7.6%
c	10178	7.3%
o	9946	7.2%
e	9420	6.8%
h	8557	6.2%
m	8271	6.0%
r	6049	4.4%
Other values (33)	35869	25.8%

Common

Value	Count	Frequency (%)
.	9628	53.3%
@	7100	39.3%
_	430	2.4%
2	190	1.1%
	139	0.8%
1	139	0.8%
5	130	0.7%
-	96	0.5%
0	83	0.5%
9	31	0.2%
Other values (7)	100	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	156940	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14644	9.3%
i	13845	8.8%
n	11607	7.4%
s	10488	6.7%
c	10178	6.5%
o	9946	6.3%
.	9628	6.1%
e	9420	6.0%
h	8557	5.5%
m	8271	5.3%
Other values (50)	50356	32.1%

Contact Person-Unified
Text

MISSING

Distinct	157
Distinct (%)	2.1%
Missing	692
Missing (%)	8.3%
Memory size	910.4 KiB

Length

Max length	35
Median length	35
Mean length	26.621915
Min length	6

Characters and Unicode

Total characters	203844
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	0.5%

Sample

1st row	M S RAMACHANDRAN
2nd row	MR DHIRESH GOSALIA
3rd row	SANJIV VASUDEVA
4th row	MR DHIRESH GOSALIA
5th row	SANJIV VASUDEVA

Value	Count	Frequency (%)
t.p.ramachandran	936	5.6%
m	738	4.4%
gupta	680	4.0%
sanghavi	547	3.2%
tandon	510	3.0%
raman	510	3.0%
umesh	497	2.9%
jayantilal	497	2.9%
jinesh	475	2.8%
m.shah	475	2.8%
Other values (306)	10995	65.2%

Most occurring characters

Value	Count	Frequency (%)
	93238	45.7%
A	24137	11.8%
N	10332	5.1%
R	8113	4.0%
H	7655	3.8%
M	6956	3.4%
S	6480	3.2%
I	6152	3.0%
T	4856	2.4%
L	4389	2.2%
Other values (17)	31536	15.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	107199	52.6%
Space Separator	93238	45.7%
Other Punctuation	3405	1.7%
Decimal Number	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	24137	22.5%
N	10332	9.6%
R	8113	7.6%
H	7655	7.1%
M	6956	6.5%
S	6480	6.0%
I	6152	5.7%
T	4856	4.5%
L	4389	4.1%
D	3853	3.6%
Other values (13)	24276	22.6%

Other Punctuation

Value	Count	Frequency (%)
.	3403	99.9%
,	2	0.1%

Space Separator

Value	Count	Frequency (%)
	93238	100.0%

Decimal Number

Value	Count	Frequency (%)
0	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	107199	52.6%
Common	96645	47.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	24137	22.5%
N	10332	9.6%
R	8113	7.6%
H	7655	7.1%
M	6956	6.5%
S	6480	6.0%
I	6152	5.7%
T	4856	4.5%
L	4389	4.1%
D	3853	3.6%
Other values (13)	24276	22.6%

Common

Value	Count	Frequency (%)
	93238	96.5%
.	3403	3.5%
0	2	< 0.1%
,	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	203844	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	93238	45.7%
A	24137	11.8%
N	10332	5.1%
R	8113	4.0%
H	7655	3.8%
M	6956	3.4%
S	6480	3.2%
I	6152	3.0%
T	4856	2.4%
L	4389	2.2%
Other values (17)	31536	15.5%

Estimated CIF Value $
Text

Distinct	5808
Distinct (%)	69.6%
Missing	0
Missing (%)	0.0%
Memory size	805.7 KiB

Length

Max length	14
Median length	11
Mean length	10.165409
Min length	4

Characters and Unicode

Total characters	84871
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4646 ?
Unique (%)	55.6%

Sample

1st row	53,76,423.31
2nd row	1,36,563.18
3rd row	1,75,043.56
4th row	33,53,760.64
5th row	6,04,233.66

Value	Count	Frequency (%)
62,143.76	25	0.3%
2,23,717.54	23	0.3%
2,33,750.00	22	0.3%
2,24,018.69	19	0.2%
2,17,185.37	18	0.2%
3,48,661.05	18	0.2%
2,21,057.57	17	0.2%
2,25,751.59	16	0.2%
62,717.29	15	0.2%
3,45,838.55	14	0.2%
Other values (5798)	8162	97.8%

Most occurring characters

Value	Count	Frequency (%)
,	13133	15.5%
.	8349	9.8%
0	8104	9.5%
1	7940	9.4%
2	7226	8.5%
5	6496	7.7%
3	6127	7.2%
4	5809	6.8%
6	5683	6.7%
7	5650	6.7%
Other values (2)	10354	12.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63389	74.7%
Other Punctuation	21482	25.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8104	12.8%
1	7940	12.5%
2	7226	11.4%
5	6496	10.2%
3	6127	9.7%
4	5809	9.2%
6	5683	9.0%
7	5650	8.9%
9	5367	8.5%
8	4987	7.9%

Other Punctuation

Value	Count	Frequency (%)
,	13133	61.1%
.	8349	38.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	84871	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	13133	15.5%
.	8349	9.8%
0	8104	9.5%
1	7940	9.4%
2	7226	8.5%
5	6496	7.7%
3	6127	7.2%
4	5809	6.8%
6	5683	6.7%
7	5650	6.7%
Other values (2)	10354	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84871	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	13133	15.5%
.	8349	9.8%
0	8104	9.5%
1	7940	9.4%
2	7226	8.5%
5	6496	7.7%
3	6127	7.2%
4	5809	6.8%
6	5683	6.7%
7	5650	6.7%
Other values (2)	10354	12.2%

Tax $
Text

Distinct	5163
Distinct (%)	61.8%
Missing	0
Missing (%)	0.0%
Memory size	792.1 KiB

Length

Max length	12
Median length	9
Mean length	8.5002994
Min length	4

Characters and Unicode

Total characters	70969
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4126 ?
Unique (%)	49.4%

Sample

1st row	11,07,328.15
2nd row	0.00
3rd row	34,107.24
4th row	6,90,740.54
5th row	1,12,363.29

Value	Count	Frequency (%)
0.00	933	11.2%
11,185.88	25	0.3%
62,048.06	23	0.3%
64,830.56	22	0.3%
62,131.59	19	0.2%
60,236.36	18	0.2%
61,310.32	17	0.2%
62,758.99	17	0.2%
62,612.21	16	0.2%
11,289.11	15	0.2%
Other values (5153)	7244	86.8%

Most occurring characters

Value	Count	Frequency (%)
,	8456	11.9%
.	8349	11.8%
0	7814	11.0%
1	7227	10.2%
2	5973	8.4%
3	5089	7.2%
5	5004	7.1%
4	4771	6.7%
8	4706	6.6%
9	4559	6.4%
Other values (2)	9021	12.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	54164	76.3%
Other Punctuation	16805	23.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7814	14.4%
1	7227	13.3%
2	5973	11.0%
3	5089	9.4%
5	5004	9.2%
4	4771	8.8%
8	4706	8.7%
9	4559	8.4%
6	4555	8.4%
7	4466	8.2%

Other Punctuation

Value	Count	Frequency (%)
,	8456	50.3%
.	8349	49.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	70969	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	8456	11.9%
.	8349	11.8%
0	7814	11.0%
1	7227	10.2%
2	5973	8.4%
3	5089	7.2%
5	5004	7.1%
4	4771	6.7%
8	4706	6.6%
9	4559	6.4%
Other values (2)	9021	12.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70969	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	8456	11.9%
.	8349	11.8%
0	7814	11.0%
1	7227	10.2%
2	5973	8.4%
3	5089	7.2%
5	5004	7.1%
4	4771	6.7%
8	4706	6.6%
9	4559	6.4%
Other values (2)	9021	12.7%

Landed Value $
Text

Distinct	5906
Distinct (%)	70.7%
Missing	0
Missing (%)	0.0%
Memory size	806.4 KiB

Length

Max length	14
Median length	11
Mean length	10.254402
Min length	4

Characters and Unicode

Total characters	85614
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4778 ?
Unique (%)	57.2%

Sample

1st row	64,83,751.46
2nd row	1,36,563.18
3rd row	2,09,150.80
4th row	40,44,501.18
5th row	7,16,596.95

Value	Count	Frequency (%)
73,329.64	25	0.3%
2,85,765.60	23	0.3%
2,98,580.56	22	0.3%
2,86,150.28	19	0.2%
2,77,421.73	18	0.2%
4,11,420.04	18	0.2%
2,82,367.89	17	0.2%
2,88,363.80	16	0.2%
74,006.40	15	0.2%
4,08,089.49	14	0.2%
Other values (5896)	8162	97.8%

Most occurring characters

Value	Count	Frequency (%)
,	13444	15.7%
.	8349	9.8%
1	7971	9.3%
2	7227	8.4%
3	6691	7.8%
6	6298	7.4%
4	6239	7.3%
0	6071	7.1%
8	6017	7.0%
5	5973	7.0%
Other values (2)	11334	13.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63821	74.5%
Other Punctuation	21793	25.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7971	12.5%
2	7227	11.3%
3	6691	10.5%
6	6298	9.9%
4	6239	9.8%
0	6071	9.5%
8	6017	9.4%
5	5973	9.4%
7	5919	9.3%
9	5415	8.5%

Other Punctuation

Value	Count	Frequency (%)
,	13444	61.7%
.	8349	38.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	85614	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	13444	15.7%
.	8349	9.8%
1	7971	9.3%
2	7227	8.4%
3	6691	7.8%
6	6298	7.4%
4	6239	7.3%
0	6071	7.1%
8	6017	7.0%
5	5973	7.0%
Other values (2)	11334	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85614	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	13444	15.7%
.	8349	9.8%
1	7971	9.3%
2	7227	8.4%
3	6691	7.8%
6	6298	7.4%
4	6239	7.3%
0	6071	7.1%
8	6017	7.0%
5	5973	7.0%
Other values (2)	11334	13.2%

Auto

Heatmap
Table

	Country of Origin	HS Code	Importer City	Importer City- Unified	Importer Pincode	Importer Pincode- Unified	Importer State	Importer State- Unified	Month	Port of Destination	Record Id	Shipment Mode	Standard Unit	Unit	Unit Rate Currency
Country of Origin	1.000	0.384	0.240	0.240	0.291	0.292	0.284	0.283	0.147	0.424	0.163	0.488	0.673	0.531	0.551
HS Code	0.384	1.000	0.546	0.546	0.119	0.123	0.340	0.340	0.052	0.407	0.058	0.113	0.064	0.213	0.191
Importer City	0.240	0.546	1.000	1.000	0.998	0.998	0.907	0.907	0.066	0.490	0.069	0.410	0.573	0.418	0.386
Importer City- Unified	0.240	0.546	1.000	1.000	0.998	0.998	0.907	0.907	0.072	0.491	0.079	0.412	0.571	0.417	0.387
Importer Pincode	0.291	0.119	0.998	0.998	1.000	1.000	0.872	0.872	0.052	0.440	0.015	0.335	0.421	0.309	0.162
Importer Pincode- Unified	0.292	0.123	0.998	0.998	1.000	1.000	0.872	0.872	0.053	0.440	0.007	0.337	0.420	0.309	0.163
Importer State	0.284	0.340	0.907	0.907	0.872	0.872	1.000	1.000	0.058	0.404	0.059	0.395	0.543	0.387	0.377
Importer State- Unified	0.283	0.340	0.907	0.907	0.872	0.872	1.000	1.000	0.059	0.404	0.060	0.398	0.540	0.386	0.378
Month	0.147	0.052	0.066	0.072	0.052	0.053	0.058	0.059	1.000	0.137	0.890	0.067	0.058	0.036	0.147
Port of Destination	0.424	0.407	0.490	0.491	0.440	0.440	0.404	0.404	0.137	1.000	0.187	0.870	0.815	0.720	0.489
Record Id	0.163	0.058	0.069	0.079	0.015	0.007	0.059	0.060	0.890	0.187	1.000	0.068	0.056	0.046	0.146
Shipment Mode	0.488	0.113	0.410	0.412	0.335	0.337	0.395	0.398	0.067	0.870	0.068	1.000	0.404	0.448	0.484
Standard Unit	0.673	0.064	0.573	0.571	0.421	0.420	0.543	0.540	0.058	0.815	0.056	0.404	1.000	1.000	0.751
Unit	0.531	0.213	0.418	0.417	0.309	0.309	0.387	0.386	0.036	0.720	0.046	0.448	1.000	1.000	0.534
Unit Rate Currency	0.551	0.191	0.386	0.387	0.162	0.163	0.377	0.378	0.147	0.489	0.146	0.484	0.751	0.534	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ï»¿BE Date	HS Code	Product Description	Importer Name	Importer Add1	Importer City	Importer Pincode	Importer State	Importer Phone	Importer E-mail	Contact Person	Exporter Name	QTY	Unit	Standard Qty	Standard Unit	Unit Rate $	Unit Rate In FC	Unit Rate Currency	Port of Destination	Shipment Mode	Country of Origin	Port Of Origin	Standard Unit Rate $	Month	Record Id	Importer Name- Unified	Exporter Name- Unified	Importer Add1- Unified	Importer City- Unified	Importer Pincode- Unified	Importer State- Unified	Importer Phone- Unified	Importer E-Mail- Unified	Contact Person-Unified	Estimated CIF Value $	Tax $	Landed Value $
342	02-04-2022	29025000	STYRENE MONOMER IN BULK	SUPREME PETROCHEM LTD	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST	MUMBAI	400093.0	MAHARASHTRA	919820037286	devdas_chandran@spl.co.in	M S RAMACHANDRAN	SABIC ASIA PACIFIC PTE LTD	4,000.40	MTS	40,00,400.00	KGS	1.34	1,343.38	USD	Bombay Sea	Sea	Saudi Arabia	Na	1.34	Apr-2022	29611604	SUPREME PETROCHEM LTD	SABIC ASIA PACIFIC PTE LTD	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST	MUMBAI	400093.0	MAHARASHTRA	919820037286	devdas_chandran@spl.co.in	M S RAMACHANDRAN	53,76,423.31	11,07,328.15	64,83,751.46
428	02-04-2022	29025000	STYRENE MONOMER SM	SHIVA PERFORMANCE MATERIALS PRIVATE LIMITED	NaN	NaN	0.0	NaN	NaN	NaN	NaN	M S SHELL INTERNATIONAL EASTERN TRA	100.00	MTS	1,00,000.00	KGS	1.37	1,365.00	USD	Hazira	Sea	Singapore	Na	1.37	Apr-2022	32460804	SHIVA PERFORMANCE MATERIALS PRIVATE LIMITED	M S SHELL INTERNATIONAL EASTERN TRA	NaN	NaN	0.0	NaN	NaN	NaN	NaN	1,36,563.18	0.00	1,36,563.18
442	02-04-2022	29153200	VINYL ACETATE MONOMER	JESONS INDUSTRIES LIMITED	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	SIPCHEM MARKETING COMPANY	100.00	MTS	1,00,000.00	KGS	1.75	1,770.00	USD	Hazira	Sea	Saudi Arabia	Na	1.75	Apr-2022	32459127	JESONS INDUSTRIES LIMITED	SIPCHEM MARKETING COMPANY	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	1,75,043.56	34,107.24	2,09,150.80
443	02-04-2022	29025000	STYRENE MONOMERSM	INEOS STYROLUTION INDIA LIMITED	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,	VADODARA	390023.0	GUJARAT	919076307694	sunilrao@supertechimpex.com	SANJIV VASUDEVA	M S SABIC ASIA PACIFIC PTE LTD	2,500.25	MTS	25,00,250.00	KGS	1.34	1,341.25	USD	Hazira	Sea	Saudi Arabia	Na	1.34	Apr-2022	32460784	INEOS STYROLUTION INDIA LIMITED	M S SABIC ASIA PACIFIC PTE LTD	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,	VADODARA	390023.0	GUJARAT	919076307694	sunilrao@supertechimpex.com	SANJIV VASUDEVA	33,53,760.64	6,90,740.54	40,44,501.18
493	02-04-2022	29025000	STYRENE MONOMER	JESONS INDUSTRIES LIMITED	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	SHELL INTERNATIONAL EASTERN TRADING	485.14	MTS	4,85,140.00	KGS	1.25	1,245.17	USD	Hazira	Sea	Singapore	Na	1.25	Apr-2022	32459128	JESONS INDUSTRIES LIMITED	SHELL INTERNATIONAL EASTERN TRADING	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	6,04,233.66	1,12,363.29	7,16,596.95
552	02-04-2022	29025000	STYRENE MONOMERSM	INEOS STYROLUTION INDIA LIMITED	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,	VADODARA	390023.0	GUJARAT	919076307694	sunilrao@supertechimpex.com	SANJIV VASUDEVA	M S SABIC ASIA PACIFIC PTE LTD	500.05	MTS	5,00,050.00	KGS	1.34	1,341.25	USD	Hazira	Sea	Saudi Arabia	Na	1.34	Apr-2022	32460774	INEOS STYROLUTION INDIA LIMITED	M S SABIC ASIA PACIFIC PTE LTD	5TH FLOOR OHM HOUSE-II,,OHM BUSINE SS PARK, SUBHANPURA,	VADODARA	390023.0	GUJARAT	919076307694	sunilrao@supertechimpex.com	SANJIV VASUDEVA	6,70,752.11	1,38,148.11	8,08,900.22
992	02-04-2022	29024100	ORTHOXYLENE	JUPITER DYE CHEM PVT LTD	MITTAL COURT92/93,A WING 9TH FLR,NARIMAN POINT,	MUMBAI	400021.0	MAHARASHTRA	919322884854	asha@chokhanigroup.com	SELLAPPAN NAGALINGAM	TRICON ENERGY LTD	100.00	MTS	1,00,000.00	KGS	1.00	1,020.00	USD	Bombay Sea	Sea	South Korea	Na	1.00	Apr-2022	29611605	JUPITER DYE CHEM PVT LTD	TRICON ENERGY LTD	MITTAL COURT92/93,A WING 9TH FLR,NARIMAN POINT,	MUMBAI	400021.0	MAHARASHTRA	919322884854	asha@chokhanigroup.com	SELLAPPAN NAGALINGAM	99,877.76	17,978.00	1,17,855.76
1001	02-04-2022	29025000	STYRENE MONOMER IN BULK	SUPREME PETROCHEM LTD	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST	MUMBAI	400093.0	MAHARASHTRA	919820037286	devdas_chandran@spl.co.in	M S RAMACHANDRAN	TOTALENERGIES TRADING ASIA PTE LTD	470.72	MTS	4,70,720.00	KGS	1.24	1,244.17	USD	Bombay Sea	Sea	China	Na	1.24	Apr-2022	29611760	SUPREME PETROCHEM LTD	TOTALENERGIES TRADING ASIA PTE LTD	SOLITAIRE CORPORATE PARK,BLDG 11 5 TH FLR GURU HARGOVINJI MARG CHAKALAANDHERI WEST	MUMBAI	400093.0	MAHARASHTRA	919820037286	devdas_chandran@spl.co.in	M S RAMACHANDRAN	5,84,009.84	1,20,282.66	7,04,292.50
1121	02-04-2022	29153200	VINYL ACETATE MONOMER	NIKHIL ADHESIVES LTD	315, THE SUMMIT BUSINESS BAY,,BH. GURUNANAK PETROL PUMP ANDHERI E	MUMBAI	400093.0	MAHARASHTRA	917666986831	nirmal@nikhiladhesives.com	UMESH JAYANTILAL SANGHAVI	SIPCHEM MARKETING COMPANY	7.22	MTS	7,220.00	KGS	2.20	2,200.00	USD	Hazira	Sea	Saudi Arabia	Na	2.20	Apr-2022	32459129	NIKHIL ADHESIVES LTD	SIPCHEM MARKETING COMPANY	315, THE SUMMIT BUSINESS BAY,,BH. GURUNANAK PETROL PUMP ANDHERI E	MUMBAI	400093.0	MAHARASHTRA	917666986831	nirmal@nikhiladhesives.com	UMESH JAYANTILAL SANGHAVI	15,895.00	3,216.35	19,111.35
1160	02-04-2022	29025000	STYRENE MONOMER	INDISOL MARKETING PVT LTD	407 MEADOWS SAHAR PLAZA COMPLEX,AN DHERI KURLA RD J B NGR ANDHERI E ,	Mumbai	400059.0	Maharashtra	919664456838	niti@indisolglobal.com	NITI BHATT	KOLMAR GROUP AG	0.58	MTS	580.00	KGS	1.17	1,207.50	USD	Hazira	Sea	Kuwait	Na	1.17	Apr-2022	32459237	INDISOL MARKETING PVT LTD	KOLMAR GROUP AG	407 MEADOWS SAHAR PLAZA COMPLEX,AN DHERI KURLA RD J B NGR ANDHERI E ,	Mumbai	400059.0	Maharashtra	919664456838	niti@indisolglobal.com	NITI BHATT	679.24	140.33	819.57

	ï»¿BE Date	HS Code	Product Description	Importer Name	Importer Add1	Importer City	Importer Pincode	Importer State	Importer Phone	Importer E-mail	Contact Person	Exporter Name	QTY	Unit	Standard Qty	Standard Unit	Unit Rate $	Unit Rate In FC	Unit Rate Currency	Port of Destination	Shipment Mode	Country of Origin	Port Of Origin	Standard Unit Rate $	Month	Record Id	Importer Name- Unified	Exporter Name- Unified	Importer Add1- Unified	Importer City- Unified	Importer Pincode- Unified	Importer State- Unified	Importer Phone- Unified	Importer E-Mail- Unified	Contact Person-Unified	Estimated CIF Value $	Tax $	Landed Value $
488788	31-03-2023	29025000	STYRENE MONOMER	JESONS INDUSTRIES LIMITED	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	KOLMAR GROUP AG	525.00	MTS	5,25,000.00	KGS	1.15	1,153.13	USD	Hazira	Sea	Kuwait	Shuaiba	1.15	Mar-2023	23841757	JESONS INDUSTRIES LIMITED	KOLMAR GROUP AG	904 PENINSULA TOWER 1 GANPAT RAO,K ADAM MARG LOWER PAREL WEST	MUMBAI	400013.0	MAHARASHTRA	919819883380	manish.rathod@jesons.net	MR DHIRESH GOSALIA	6,05,272.17	1,28,590.08	7,33,862.25
488819	31-03-2023	29153200	VINYL ACETATE MONOMER 14-17PPM IN BULK	VISEN INDUSTRIES LIMITED	501, STANFORD, PLOT NO. 554 JN OF S.V.ROAD & JUHU LANE, ANDHERI (W),	MUMBAI	400058.0	MAHARASHTRA	022-66443333	info@visen.net	T.P.RAMACHANDRAN	CELANESE PTE LTD	42.00	MTS	42,000.00	KGS	1.08	1,080.00	USD	Jnpt	Sea	Singapore	OP Singapore	1.08	Mar-2023	19381496	VISEN INDUSTRIES LIMITED	CELANESE PTE LTD	501, STANFORD, PLOT NO. 554 JN OF S.V.ROAD & JUHU LANE, ANDHERI (W),	MUMBAI	400058.0	MAHARASHTRA	022-66443333	info@visen.net	T.P.RAMACHANDRAN	45,242.23	8,143.61	53,385.84
488898	31-03-2023	29153200	VINYL ACETATE MONOMERIN BULK	HARESH PETROCHEM PVT LTD	510, ACME PLAZA, ANDHERI KURLA ,ROAD, ANDHERI-(EAST), ,, .	Mumbai	400059.0	MAHARASHTRA	28375382/83fax28254417	hppl@hareshgroup.com	BALASUBRAMANIAN	ICC CHEMICAL CORPORATION	50.00	MTS	50,000.00	KGS	1.07	1,070.00	USD	Kandla	Sea	Taiwan	Taichung	1.07	Mar-2023	23926488	HARESH PETROCHEM PVT LTD	ICC CHEMICAL CORPORATION	510, ACME PLAZA, ANDHERI KURLA ,ROAD, ANDHERI-(EAST), ,, .	Mumbai	400059.0	MAHARASHTRA	28375382/83fax28254417	hppl@hareshgroup.com	BALASUBRAMANIAN	53,393.00	14,808.55	68,201.55
489056	31-03-2023	29025000	STYRENE MONOMER IN BULK	INDIAN SYNTHETIC RUBBER PRIVATE LIMITED	10TH FLOOR CORE-2,NORTH TOWER,,SCO PE MINAR DISTT CENTRE,` LAXMI NAGAR DELHI,	Delhi	110092.0	DELHI	919971008752	sachin.sharma@isrpl.co.in	TSU TI LIU	SABIC ASIA PACIFIC PTE LTD	1,571.93	MTS	15,71,930.00	KGS	1.09	1,088.38	USD	Kandla	Sea	Saudi Arabia	Jubail	1.09	Mar-2023	23639094	INDIAN SYNTHETIC RUBBER PRIVATE LIMITED	SABIC ASIA PACIFIC PTE LTD	10TH FLOOR CORE-2,NORTH TOWER,,SCO PE MINAR DISTT CENTRE,` LAXMI NAGAR DELHI,	Delhi	110092.0	DELHI	919971008752	sachin.sharma@isrpl.co.in	TSU TI LIU	17,10,748.99	3,63,448.63	20,74,197.62
489092	31-03-2023	29153200	VINYL ACETATE MONOMER	MLJP CHEMICALS LIMITED	609,NEW DELHI HOUSE 27 BARAKHAMBA ROAD DELHI,	DELHI	110001.0	DELHI	919811582387	mljpchemicals@mljp.in	RUCHI GUPTA	BRIGHT COAST DEVELOPMENT LIMITED	80.00	MTS	80,000.00	KGS	1.05	1,050.00	USD	Kandla	Sea	China	Jingjiang	1.05	Mar-2023	23387938	MLJP CHEMICALS LIMITED	BRIGHT COAST DEVELOPMENT LIMITED	609,NEW DELHI HOUSE 27 BARAKHAMBA ROAD DELHI,	DELHI	110001.0	DELHI	919811582387	mljpchemicals@mljp.in	RUCHI GUPTA	83,631.68	16,922.88	1,00,554.56
489133	31-03-2023	29025000	STYRENE MONOMER IN BULK	ARYANN CHEMICAL TRADING PRIVATE LIMITED	NaN	NaN	0.0	NaN	0	NaN	NaN	SABIC ASIA PACIFIC PTE LTD	0.28	MTS	280.00	KGS	1.12	1,156.13	USD	Kandla	Sea	Saudi Arabia	Jubail	1.12	Mar-2023	23824555	ARYANN CHEMICAL TRADING PRIVATE LIMITED	SABIC ASIA PACIFIC PTE LTD	NaN	NaN	0.0	NaN	0	NaN	NaN	313.77	68.21	381.98
489142	31-03-2023	29025000	STYRENE MONOMER GO ARTICLE / ODS / PRODUCT / ITEM IMPORTED VIDE W/H BOE NO.5082369 DT.16.03.2023 BY JESONS TECHNO POLYMERS LLP	JESONS TECHNO POLYMERS LLP	NaN	NaN	0.0	NaN	NaN	NaN	NaN	SHELL INTERNATIONAL EASTERN TRADING	184.00	MTS	1,84,000.00	KGS	1.15	1,148.96	USD	Mundrasez	Sez	Singapore	OP Singapore	1.15	Mar-2023	24024918	JESONS TECHNO POLYMERS LLP	SHELL INTERNATIONAL EASTERN TRADING	NaN	NaN	0.0	NaN	NaN	NaN	NaN	2,11,366.66	0.00	2,11,366.66
489200	31-03-2023	29025000	STYRENE MONOMER IN BULK KICEPA REF NO. C010-23-0006307 DT.20.02.2023	MODY CHEM	401, FAIZ-A-QUTBI, 375, ,NARSINATHA STREET, MASJID (W), ,,	Mumbai	400009.0	MAHARASHTRA	66312896	modyorganic@gmail.com	MR.B.G.GUPTA	VINMAR INTERNATIONAL LLC	37.00	MTS	37,000.00	KGS	1.22	1,222.50	USD	Kandla	Sea	South Korea	Daesanseosan	1.22	Mar-2023	23479041	MODY CHEM	VINMAR INTERNATIONAL LLC	401, FAIZ-A-QUTBI, 375, ,NARSINATHA STREET, MASJID (W), ,,	Mumbai	400009.0	MAHARASHTRA	66312896	modyorganic@gmail.com	MR.B.G.GUPTA	45,115.07	8,120.72	53,235.79
489216	31-03-2023	29153200	VINYL ACETATE MONOMER	MLJP CHEMICALS LIMITED	609,NEW DELHI HOUSE 27 BARAKHAMBA ROAD DELHI,	DELHI	110001.0	DELHI	919811582387	mljpchemicals@mljp.in	RUCHI GUPTA	BRIGHT COAST DEVELOPMENT LIMITED	20.00	MTS	20,000.00	KGS	1.05	1,050.00	USD	Kandla	Sea	China	Jingjiang	1.05	Mar-2023	23322822	MLJP CHEMICALS LIMITED	BRIGHT COAST DEVELOPMENT LIMITED	609,NEW DELHI HOUSE 27 BARAKHAMBA ROAD DELHI,	DELHI	110001.0	DELHI	919811582387	mljpchemicals@mljp.in	RUCHI GUPTA	20,907.92	4,230.72	25,138.64
489289	31-03-2023	29025000	STYRENE MONOMER IN BULK KICEPA REF NO. C010-23-0006307 DT.20.02.2023	MODY CHEM	401, FAIZ-A-QUTBI, 375, ,NARSINATHA STREET, MASJID (W), ,,	Mumbai	400009.0	MAHARASHTRA	66312896	modyorganic@gmail.com	MR.B.G.GUPTA	VINMAR INTERNATIONAL LLC	30.00	MTS	30,000.00	KGS	1.22	1,222.50	USD	Kandla	Sea	South Korea	Daesanseosan	1.22	Mar-2023	23208203	MODY CHEM	VINMAR INTERNATIONAL LLC	401, FAIZ-A-QUTBI, 375, ,NARSINATHA STREET, MASJID (W), ,,	Mumbai	400009.0	MAHARASHTRA	66312896	modyorganic@gmail.com	MR.B.G.GUPTA	36,579.78	6,584.36	43,164.14

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Math Symbol

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Modifier Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Space Separator

Most occurring scripts